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The goal of the course is to give you the tools to initiate a project plan, manage both stakeholders and relationships, organize their team, develop a project charter, and build a business case for a project. By the end of this course you will be able to: - Perform a project assessment using information from previous projects and lessons learned - Identify key deliverables based on business requirements while managing customer expectations - Perform a stakeholder analysis and create a management plan - Analyze and develop a project organization - Create a project charter - Explain the business case for a project and calculate Net Present Value - Inform stakeholders of the charter and ensure all parties know the deliverables and expectations As part of the course, you will prepare organization charts, create a Stakeholder Register, and write a Project Charter based on an engineering project in a provided Case Study. The Stakeholder Register will outline the key parties to the project, their concerns and how you will manage their expectations. Your Project Charter will provide the key guidance your team needs to understand the scope, requirements and purpose for the project. All of this will position you for initiating and planning your first project and/or understanding how you can maximize your contributions on your next project team. Rice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 12 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. PMI and PMP are registered marks of the Project Management Institute, Inc.

Scope, time, and cost management are at the heart of successful project management. This course will give you the tools to develop a project scope, schedule and budget and then status them to predict project performance. Throughout the course, you will learn about change management and techniques to implement it. By the end of this course you will be able to: • Create a requirements document • Create a Project Scope Statement • Identify ways to control the scope of the project • Decompose the work and develop work packages • Create a Work Breakdown Structure • Develop a Critical Path Schedule • Review types of cost estimates and identify whether they are “top down or bottom up” • Review budgets, contingencies and reserves • Calculate planned and earned values to compare with actual cost • Perform a cost and schedule analysis Each week you will prepare a key deliverable for the project plan based on a provided Case Study. These deliverables include: • Project Scope Statement • Project Work Breakdown Structure (WBS) and WBS dictionary • Critical Path schedule sequence diagram • Bar Chart Schedule (Gantt Chart) • Project Cost Estimate • Project Status using an Earned Value Calculation All of this will position you to set up a plan to control your next assignment or your next project whether this is as the project manager or as an area leader. Rice Center for Engineering Leadership is a Registered Education Provider through the Project Management Institute (PMI)®. Learners who complete this course on the Certificate track will be awarded 14 hours of Profession Development Units. These are recognized by PMI for continuing education or can be applied toward the 35 hours of education required for the Project Management Professional (PMP)® certification. PMI and PMP are registered marks of the Project Management Institute, Inc.

This course will explore the earlier stages of the entrepreneurial venture process across four modules. The modules will examine the nature of growth and error in entrepreneurial settings and how to manage resources in those settings. In addition, the modules will explore the emergence of entrepreneurial opportunities, the formulation of ideas in relation to those opportunities, and how those opportunities and ideas influence entrepreneurial phenomena. Finally, the course will focus on how business concepts underlie compelling entrepreneurial missions that provide guidance to the evolution of a venture’s business model and future strategic planning. You will be able to: - Develop a foundational understanding of the entrepreneurial process - Consider the relationship between growth and error - Understand how particular opportunities influence entrepreneurial phenomena This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

Neste curso de seis módulos, você aprenderá como empresas e organizações se comportam em situações nas quais decisões estratégicas são interdependentes, isto é, onde minhas ações afetam os lucros da concorrência e vice-versa. Com o uso de ferramentas básicas da teoria de jogos, vamos analisar como são escolhidas pelas empresas as estratégias para ter uma vantagem competitiva. Este curso também está disponível em chinês. Vá ao nosso catálogo de cursos para acessar a versão chinesa de Estratégia competitiva.

En el curso estructura de capital y política de dividendos se analizará la forma en la que una empresa financia sus activos a través de métodos internos o externos, estructurando así su pasivo y capital. Dichas fuentes de financiamiento se ven reflejadas en el costo de capital promedio ponderado (Weighted Average Cost of Capital- WACC). De la mano de la determinación de dicho costo de financiamiento y de la estructura del capital, el administrador financiero deberá determinar la política de dividendos, tomando como referencia el teorema de Modilgliani – Miller. En este curso el administrador financiero adicionalmente será capaz de evaluar activos financieros o portafolios, evaluando la relacion que existe entre riesgo y retorno bien a través del modelo Capital Asset Pricing Model CAPM o del Arbitrage Pricing Theory APT.

Exam Prep AZ-305: Microsoft Certified Azure Solutions Architect Expert specialization helps you gain the skills you need to be a successful Azure Solutions Architect. This specialization covers a broad range of topics, including identity, governance, monitoring, data, compute, applications, migration, business continuity, and networking. This specialization will help you attain the Microsoft Certified Azure Solutions Architect Expert Certification. By preparing for and passing the Microsoft Certified Azure Solutions Architect Expert Certification exam through our specialization, you will hone your skills in areas like: Design and implement scalable, highly available, and resilient Azure solutions. Implement identity and access management solutions using Microsoft Entra ID. Design solutions for data storage, compute, and application architecture in Azure. Implement robust governance, monitoring, and security strategies for Azure environments. Design and implement solutions for migration, business continuity, and network optimization in Azure. Exam Prep AZ-305: Microsoft Certified Azure Solutions Architect Expert specialization is broadly divided into four courses. The detail of courses is provided below: Course 1: Azure Identity, Governance, and Monitoring Solutions Course 2: Azure Data Storage Solutions Course 3: Azure Compute and Application Architecture Solutions Course 4: Azure Migration, Business Continuity, and Networking Solutions

Exam Prep PL-300: Microsoft Power BI Data Analyst This course is designed for professionals aiming to apply data analysis and business intelligence techniques using Microsoft Power BI. It equips learners with the skills to model, visualize, and analyze data efficiently, enabling data-driven decision-making. Participants will gain hands-on experience in data transformation, creating reports, and implementing security measures in Power BI. The specialization is divided into four key courses: Power BI: Data Analytics and Data Preparation Power BI: Data Modeling and Data Analysis Power BI: Data Visualization and Analysis Power BI: Data Secure, Governance, and Workspace Management Each course contains Modules, Lessons, and Video Items, along with Practice and Graded assignments that validate the candidate’s ability to grasp key concepts. This course aims to achieve the Microsoft Certified: Power BI Data Analyst Associate Certification, which validates your ability to: Prepare data using Power Query Model data for analytics Create impactful reports using Power BI visuals Analyze data with DAX functions and optimize performance Earning this certification positions you as a proficient Power BI Data Analyst, ready to drive business intelligence solutions.

The Exam Prep SC-100: Microsoft Certified Cybersecurity Architect Expert Specialization is designed for senior security professionals and architects seeking to master end-to-end cybersecurity design with Microsoft technologies. This specialization equips learners with skills to: Design security operations with Microsoft Sentinel as a SIEM + SOAR. Build identity-first architectures using Microsoft Entra ID, Conditional Access, and PAM. Apply compliance and governance solutions using Microsoft Purview and Defender for Cloud. Implement Zero Trust, DevSecOps, and multi-cloud security strategies. The specialization is divided into four key courses: Design solutions with security best practices and priorities Design security operations, identity, and compliance capabilities Design security solutions for infrastructure Design security solutions for applications and data Each course is structured into Modules, Lessons, and Video Lectures, and supported with practice activities, graded assignments, and quizzes that reinforce learning and prepare you for the SC-100 exam. This specialization aims to achieve the Microsoft Certified: Cybersecurity Architect Expert credential, validating your ability to design enterprise-wide security strategies across applications, identity, infrastructure, and compliance.

Ce cours fournit un cadre analytique afin de vous aider à évaluer les problèmes clés de manière structurée. Il vous procurera également des outils afin de mieux gérer les incertitudes qui envahissent et compliquent les processus des entreprises. Plus précisément, vous serez initié(e) aux statistiques et à la manière de résumer les données. Vous découvrirez les concepts de fréquence, de loi normale, d’études statistiques, de l’échantillonnage et des intervalles de confiance. Tout en vous initiant à la science de ce qui est enseigné, nous nous concentrerons sur l’application des méthodologies. À cette fin, nous utiliserons Excel et des ensembles de données provenant de nombreuses disciplines différentes, ce qui vous permettra de découvrir l’utilisation des statistiques dans des contextes très diversifiés. Le cours se concentrera non seulement sur l’explication de ces concepts, mais également sur la compréhension de la signification des résultats obtenus. Au terme de ce cours, vous serez en mesure : • de résumer de grands ensembles de données sous forme de graphiques, tableaux et chiffres. • de comprendre l’importance d’un échantillonnage adapté et pourquoi vous pouvez vous fonder sur les informations contenues dans les échantillons. • de comprendre pourquoi la loi normale peut être utilisée dans un si grand nombre de contextes. • d’utiliser les informations issues de l’échantillon afin de déduire des informations sur la population avec un certain niveau de confiance quant à l’exactitude des estimations. • d’utiliser Excel pour l’analyse statistique. Ce cours est intégré au iMBA proposé par l’Université de l’Illinois, un MBA en ligne flexible et entièrement agréé à un prix incroyablement compétitif. Pour obtenir de plus amples informations, veuillez consulter la page Ressources de ce cours ainsi que le site onlinemba.illinois.edu.

The objective of this course is to acquire proficiency with Field Programmable Gate Arrays (FPGA)s for the purpose of creating prototypes or products for a variety of applications. Although FPGA design can be a complex topic, we will introduce it so that, with a little bit of effort, the basic concepts will be easily learned, while also providing a challenge for the more experienced designer. We will explore complexities, capabilities and trends of Field Programmable Gate Arrays (FPGA) and Complex Programmable Logic Devices (CPLD). Conception, design, implementation, and debugging skills will be practiced. We will learn specifics around embedded IP and processor cores, including tradeoffs between implementing versus acquiring IP. Projects will involve the latest software and FPGA development tools and hardware platforms to help develop a broad perspective of the capabilities of various Programmable SoC solutions. Topics include: Verilog, VHDL, and RTL design for FPGA and CPLD architectures FPGA development tools flow: specify, synthesize, simulate, compile, program and debug Configurable embedded processors and embedded software Use of soft-core and hard-core processors and OS options FPGA System engineering, software-hardware integration, and testing IP development and incorporating 3rd-party IP The capstone course will give the learner the opportunity to practice and implement the concepts covered by building FPGA systems based on low cost evaluation boards.

By the end of the specialization, you will be able to: Prepare others for growth-mindset feedback and deliver it to them. Manage upward by preparing your superior to receive growth-mindset feedback from you. Build appropriate relationships to appreciate coworkers as people beyond the workplace. Use different tactics to eliminate or avoid common biases in group settings.

The role of an Analyst is dynamic, complex, and driven by a variety of skills. These skills range from a basic understanding of financial statement data and non-financial metrics that can be linked to financial performance, to a deeper dive into business and financial modeling. Analysts also utilize spreadsheet models, modeling techniques, and common investment analysis application as part of their toolkit to make informed financial decisions and investments. This multifaceted specialization will equip a learner who might be interested in entering the dynamic world of data and business analysis, and/or is interested gaining deeper technical knowledge in Finance and Quantitative Modeling. Starting from the fundamentals of quantitative modeling, you will learn how to put data to work by using spreadsheets and leverage spreadsheets as a powerful, accessible data analysis tool. You will also be introduced to the world of corporate finance, and gain a better understanding of finance fundamentals, including a variety of real-world situations spanning personal finance, corporate decision-making and financial intermediation.

In Finance for Technical Managers, you will explore the fundamental principles of financial management. Topics include understanding and interpreting a company’s financial statements, the time value of money and its role in evaluating the economic viability of different projects, and the annual capital budgeting process every company performs when selecting which projects to fund. In addition, you will cover some highly practical topics, such as how to determine product costs, establishing a department’s annual budget, and ways of forecasting future sales. As a side benefit, the quantitative skills you will learn for business are identical to the skills necessary to manage your own personal finances. Therefore, you will extend your analyses to cover investing of mutual funds composed of stocks and bonds, and you will explore the fascinating area of asset allocation. This specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder.

This course teaches how to value and price M&A deals and to choose the optimal financing mix for an M&A deal. The course focuses on all the major types of M&A deals including strategic M&A, private equity leveraged buyouts (LBOs), and restructuring deals such as spinoffs and asset transfers.

This course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, will teach you the tools you'll need to understand the fundamentals of financial accounting. Concise videos, the financial records of a small business, and "your turn" activities guide you through the three most commonly used financial statements: the Balance Sheet, the Income Statement, and the Statement of Cash Flows. Beyond recording transactions, you'll learn how to prepare these financial statements, and read and analyze them to draw basic conclusions about a company's financial health. By the end of this course, you will be able to: - Use journal entries to record transactions - Prepare and use t-accounts to summarize transactions recorded during an accounting period - Describe the three most commonly used financial statements and how they fit together - Prepare these financial statements based on transactions recorded during an accounting period - Draw basic conclusions about a company's financial health

In an era of thriving businesses, both small and large, it is crucial to possess a wholistic understanding of the financial building blocks of a successful organization. Through this 3-course Specialization in Financial Analysis, you will gain a well-rounded knowledge of key financial concepts that will help you apply an analytic mindset to understanding and driving organizational decisions and success. The courses in this Specialization focus on financial topics and organizational principles. Topics covered include: Understanding the importance of gaining a financial perspective Identifying and applying fundamental principles of Accounting and Finance Identifying a firm’s financial statements and understanding how they reflect company position and performance Understanding the basics of financial statement analysis Using financial information to facilitate strategic and operational decision-making Planning and budgeting to effectively and efficiently allocate resources This specialization is designed to build on the foundational skills developed in the Google Data Analytics Professional Certificate; earn a dual credential when you complete a Google Career Certificate and this specialization.

This specialization is intended for aspiring learners and professionals seeking to hone their skills in the quantitative finance area. Through a series of 5 courses, we will cover derivative pricing, asset allocation, portfolio optimization as well as other applications of financial engineering such as real options, commodity and energy derivatives and algorithmic trading. Those financial engineering topics will prepare you well for resolving related problems, both in the academic and industrial worlds.

The Financial Management capstone will provide a learning experience that integrates across all the courses within this specialization. You will analyze a situation taking the vantage point of a company and develop a financial management plan (for instance, a global company working in a specific geography chosen by students’ region or country of residence, or other consideration). You will design a deliverable to create value from the perspective of potential employers while achieving pedagogical and experiential goals. This course is part of the iMBA offered by the University of Illinois, a flexible, fully-accredited online MBA at an incredibly competitive price. For more information, please see the Resource page in this course and onlinemba.illinois.edu.

The Financial Reporting Specialization focuses on the role of financial accounting principles and processes in creating and reporting an organization’s financial statements. Learners who complete this specialization will be able to (1) use financial accounting principles to create and/or process an organization’s financial statements and (2) analyze financial statements to assess an organization’s financial position.

To harvest the enormous potential of ground-breaking research in the field of biotechnology, large amounts of financing are needed. From the first lab results to a commercially viable product, many years go by, and much money is burned. Thus, financing is the key to making biotechnology innovations accessible to everyone. By the end of this course, you will have the confidence to talk to and convince investors to fund your endeavor. To do so, the course offers an introduction to financing and discusses the different motivations of those involved in financing. It will also enable you to evaluate different sources of financing. Moreover, it will establish an understanding of the challenges faced during the fundraising process, such as valuing a company, the legal aspects of an investment contract, or pitching your company to investors. Thereby, it will provide you with the confidence of managing the fundraising process and communicating your project effectively to any type of financial backer.

In markets, prices act as rationing devices, encouraging or discouraging production and consumption to find an equilibrium. In this course, you will learn to construct demand curves to capture consumer behavior and supply curves to capture producer behavior. The resulting equilibrium price “rations” the scarce commodity. Additionally, the course examines the ways in which markets are subject government intervention and the impacts of these interventions. You will be able to: • Explain how different market structures result in different resource allocations • Model the impact of external shocks to a particular market structure and demonstrate the new equilibrium price and quantity after the impact of this external shock has played out • Evaluate the efficiency of an equilibrium • Explain when and why the government might intervene with regulatory authority or antitrust litigation to lessen inefficiencies in some markets • Describe how information problems can cause inefficient outcomes • Understand externalities and consider optimal government response to these market failures This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

The Business School at the University of Colorado Denver wants to help you become a change agent for sustainable business. We hope that with the skills and concepts you gain from this specialization that you will help your business reduce its social and environmental impact. Being a change agent is hard. It takes courage and passion and knowledge. To implement change also requires being able to make the case for that change in terms that people in your company or organization respond to and understand. After completing the specialization, you will be able to: * Discuss the threats and opportunities that major global trends such as climate change present to businesses; * Identify ways a company can improve its environmental and social performance; * Evaluate and compare companies’ sustainability activities and products; * Develop a business case for implementing sustainability investments; * Identify key criteria of green businesses and product design; * Be a change agent in your organization; * Understand emerging topics in sustainable business, including those in the public policy space. We're very excited about offering this MOOC specialization and hope it gives you the first step toward learning about and taking action to make the places you work and the products you buy more sustainable. Sustainable business changes daily with new products, innovations and ideas, so you will be important in keeping the class current. We look forward to learning from you as you take this green journey! ______

L’infographie est partout ! Les mots et les images, les composantes de l’infographie, sont les éléments qui véhiculent la majorité du contenu à la fois dans le monde numérique et dans celui des documents imprimés. À mesure que l’infographie devient plus prépondérante et évidente dans nos vies, l’infographie en tant que technique devient plus importante dans notre culture. À travers des exemples visuels, ce cours vous fera découvrir les fondamentaux de l’infographie : création d'images, typographie, composition, association des couleurs et des formes géométriques... les compétences de base communes à tous les domaines de l’infographie. Je ne veux pas que vous vous contentiez de regarder une vidéo de quelqu'un qui parle de conception ; je veux que vous vous lanciez dans la conception ! Pour être un concepteur, vous devez être un créateur et un communicant. Ce cours vous donnera donc de nombreuses opportunités de vous entraîner à l’aide d’exercices et de projets plus concrets. À la fin du cours, vous aurez appris à explorer et à étudier la représentation visuelle à travers une gamme de techniques de création d'images ; vous comprendrez les principes de base du traitement des formes géométriques, des couleurs et des modèles ; vous aurez été exposé au langage et aux compétences de la typographie ; et vous comprendrez et saurez appliquer les principes de composition et de contraste visuel. Si vous suivez ce cours, ainsi que ses briefings facultatifs (mais fortement recommandés), vous aurez un ensemble de compétences en infographie que vous pouvez appliquer à vos propres projets ou pour approfondir une zone particulière de l’infographie. Pour réussir ce cours, vous devrez avoir accès à un ordinateur. Vous pouvez suivre le cours sans ordinateur, mais ce sera plus compliqué. L'accès aux logiciels Adobe Creative Suite, tels qu'Illustrator, Photoshop et InDesign et une connaissance de niveau débutant des programmes vous seront utiles, surtout si vous souhaitez suivre les briefings facultatifs.

Understand and apply the foundational principles of finance to most business problems and strategies. This integrated set of courses focuses on both the theory and practice of financial decision-making through an applied lens. Ideal for learners seeking to advance their career and/or pursue a business degree, such as a Master of Business Administration (MBA) degree, a great understanding of foundational concepts in finance will help you to understand the principles of personal finance and investing. After successful completion of the four-course program, you will be equipped to make thoughtful decisions based on a framework built using multiple advances in modern financial theory.

In this specialization, you’ll focus on the mechanics and intuition of the main building block of finance — the time value of money. You’ll learn the structure and basics through assignments and tests that are introductory in nature but with real-world applications. We developed this specialization with the express purpose of enabling you to understand and apply these foundational principles of finance to your everyday life. Understanding how to use finance for personal decisions will also help you understand and excel at making professional decisions. After the successful completion of this series, you will be equipped to make thoughtful decisions based on a framework that uses multiple advances in modern financial theory over the past several decades. The most important features of this specialization are: (a) it is an integrated set of courses with a focus on understanding both the theory and applicability of finance; and (b) it is applied in execution — everything is covered using examples. The four courses in this specialization all build on each other, use real-world examples, and include richly designed assessments/quizzes to test your knowledge and enhance your learning experience. Assessments will progressively build in complexity as you better understand the applicability of finance to complex issues.

Develop your ability to think strategically, analyze the competitive environment, and recommend firm positioning and value creation. In this course, developed at the Darden School of Business at the University of Virginia, top-ranked faculty will help you explore the underlying theory and frameworks that provide the foundations of a successful business strategy and provide the tools you need to understand that strategy: SWOT, Competitor, Environmental, Five Forces, and Capabilities Analyses, as well as Strategy Maps.

Building fast and highly performant data science applications requires an intimate knowledge of how data can be organized in a computer and how to efficiently perform operations such as sorting, searching, and indexing. This course will teach the fundamentals of data structures and algorithms with a focus on data science applications. This specialization is targeted towards learners who are broadly interested in programming applications that process large amounts of data (expertise in data science is not required), and are familiar with the basics of programming in python. We will learn about various data structures including arrays, hash-tables, heaps, trees and graphs along with algorithms including sorting, searching, traversal and shortest path algorithms. This specialization can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

Good management is equal parts knowing and doing. No matter what industry you work in or where you are in your career, a basic understanding of financial, marketing and decision-making principles and other management fundamentals will help you achieve your professional goals - be it getting promoted in your current job, getting ready for a MBA program, or starting your own company. This Specialization will give you a comprehensive introduction to the practice of management through the lens of four key disciplines: accounting, finance, marketing, and organizational behavior. In each course, you'll analyze real business cases from these four perspectives. In the final Capstone Project, you’ll apply what you’ve learned to develop a holistic solution to a real-world business dilemma. This Specialization will provide you with the skill set needed to help achieve the next step in your career.

The University of Pennsylvania and Dr. Martin E.P. Seligman welcome you to Foundations of Positive Psychology. Our five-course specialization provides you with the key theories and research in the field of positive psychology as well as opportunities for application. Course topics include • Positive Psychology: Martin E.P. Seligman’s Visionary Science with Dr. Martin E.P. Seligman • Positive Psychology: Applications and Interventions with Dr. James Pawelski • Positive Psychology: Character, Grit and Research Methods with Dr. Angela Duckworth & Dr. Claire Robertson-Kraft • Positive Psychology: Resilience Skills with Dr. Karen Reivich • Positive Psychology Specialization Project with Dr. Martin E.P. Seligman

Who is this course for? This course is designed for students, business analysts, and data scientists who want to apply statistical knowledge and techniques to business contexts. For example, it may be suited to experienced statisticians, analysts, engineers who want to move more into a business role, in particular in marketing. You will find this course exciting and rewarding if you already have a background in statistics, can use R or another programming language and are familiar with databases and data analysis techniques such as regression, classification, and clustering. However, it contains a number of recitals and R Studio tutorials which will consolidate your competences, enable you to play more freely with data and explore new features and statistical functions in R. Business Analytics, Big Data and Data Science are very hot topics today, and for good reasons. Companies are sitting on a treasure trove of data, but usually lack the skills and people to analyze and exploit that data efficiently. Those companies who develop the skills and hire the right people to analyze and exploit that data will have a clear competitive advantage. It's especially true in one domain: marketing. About 90% of the data collected by companies today are related to customer actions and marketing activities.The domain of Marketing Analytics is absolutely huge, and may cover fancy topics such as text mining, social network analysis, sentiment analysis, real-time bidding, online campaign optimization, and so on. But at the heart of marketing lie a few basic questions that often remain unanswered: (1) who are my customers, (2) which customers should I target and spend most of my marketing budget on, and (3) what's the future value of my customers so I can concentrate on those who will be worth the most to the company in the future. That's exactly what this course will cover: segmentation is all about understanding your customers, scorings models are about targeting the right ones, and customer lifetime value is about anticipating their future value. These are the foundations of Marketing Analytics. And that's what you'll learn to do in this course.

How do you implement ideas? This course provides practical proven tools for transforming an idea into a product or service that creates value for others. As students acquire these tools, they learn how to tell bad ideas from good, how to build a winning strategy, how to shape a unique value proposition, prepare a business plan, compare their innovation to existing solutions, build flexibility into their plan and determine when best to quit. As a vital part of the course students conduct on-site interviews with entrepreneurs who have launched startups, and are eager to share their valuable insights with them. Upon completing this course successfully, graduates will be able to: 1. Transform ideas into real products, services and processes, by validating the idea, testing it, and turning it into a growing, profitable and sustainable business. 2. Identify the major steps and requirements in order to estimate the potential of an innovative idea as the basis of an innovative project. 3. Reach creative solutions via an iteration of a virtually endless stream of world-changing ideas and strategies, integrating feedback, and learning from failures along the way. 4. Apply the 10 entrepreneurial tools in creating a business plan for a new innovative venture. 5. Apply methods and strategies learned from interviews with startup entrepreneurs and innovators. 6. Communicate and sell innovative ideas successfully.

If innovation and creativity in technology attracts you and developing impressive webpages are your passion, then this specialization is for you. Front-end developers are skilled professionals who are experts in combining the art of designing with the science of programming. The skills acquired in this field presents copious opportunities for individuals like you in the field of web application development. This Specialization transforms learners with no programming background into front-end Web developers who can build highly engaging consumer-facing, rich front-end Single Page Application (SPA).

In this course you will learn how to apply the functional programming style in the design of larger Scala applications. You'll get to know important new functional programming concepts, from lazy evaluation to structuring your libraries using monads. We'll work on larger and more involved examples, from state space exploration to random testing to discrete circuit simulators. You’ll also learn some best practices on how to write good Scala code in the real world. Finally, you will learn how to leverage the ability of the compiler to infer values from types. Several parts of this course deal with the question how functional programming interacts with mutable state. We will explore the consequences of combining functions and state. We will also look at purely functional alternatives to mutable state, using infinite data structures or functional reactive programming. Recommended background: You should have at least one year programming experience. Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. You should have some familiarity with using the command line. This course is intended to be taken after Functional Programming Principles in Scala: https://www.coursera.org/learn/progfun1.

Accounting is the “language of business.” Being able to understand this language allows individuals both inside and outside of an organization to join the “conversation” about how the organization is performing and how it can improve future performance. Financial accounting focuses on the reports that managers generate to provide interested external parties a summary of the firm’s financial position and operations. Managerial accounting focuses on the information and the analytical tools and techniques that help managers and employees make the right business decisions. In this Specialization, you will learn the fundamentals of both of these purposes of accounting. More specifically, you will understand the financial statements that managers create, and be able to interpret and analyze these statements to assess the financial position of the organization. You will also identify and understand the nature, purpose, and importance of different types of decision-useful accounting information, and use analytical tools and techniques to use this information to make business decisions. Via the capstone, you will apply these fundamentals via the lens of a new business, creating a business plan, forecasts and budgets, and anticipated information needs for decisions made by you as owner and manager, your employees, and external parties such as future shareholders, creditors, and other constituents.

In this course, we trace the evolution of networks and identify the key concepts and functions that form the basis for layered architecture. We introduce examples of protocols and services that are familiar to the students, and we explain how these services are supported by networks. Further, we explain fundamental concepts in digital communication, and focus on error control techniques that include parity check, polynomial code, and Internet checksum. Students will be required to have some previous programming experience in C-programming (C++/Java), some fundamental knowledge of computer organization and IT architecture and a background in computer science is a plus.

En esta Especialización, desarrollarás técnicas elementales en el lenguaje de los negocios, que podrás usar para cambiar a una nueva carrera, comenzar o mejorar tu pequeño negocio, o aplicar en la escuela de negocios para continuar tu formación. Durante cuatro cursos, aprenderás los fundamentos del marketing, la contabilidad, las operaciones y las finanzas. En el Proyecto Final, aplicarás las habilidades aprendidas para desarrollar una estrategia de mercado para tratar un reto empresarial real.

This Specialization is intended for professionals who seek to improve their management competencies and skills. Through five courses, you will cover Delphi Method, Scenario Planning, Models and Frameworks to Support Decision Making Process in a BANI World. You will develop applied projects up to 3 courses. By the end of this specialization, you'll have improved your knowledge, competencies, and skills regarding foresight and scenario analysis. The potential for value creation through the future studies framework will be increased at the end of the Specialization.

In this course, the second in the Geographic Information Systems (GIS) Specialization, you will go in-depth with common data types (such as raster and vector data), structures, quality and storage during four week-long modules: Week 1: Learn about data models and formats, including a full understanding of vector data and raster concepts. You will also learn about the implications of a data’s scale and how to load layers from web services. Week 2: Create a vector data model by using vector attribute tables, writing query strings, defining queries, and adding and calculating fields. You'll also learn how to create new data through the process of digitizing and you'll use the built-in Editor tools in ArcGIS. Week 3: Learn about common data storage mechanisms within GIS, including geodatabases and shapefiles. Learn how to choose between them for your projects and how to optimize them for speed and size. You'll also work with rasters for the first time, using digital elevation models and creating slope and distance analysis products. Week 4: Explore datasets and assess them for quality and uncertainty. You will also learn how to bring your maps and data to the Internet and create web maps quickly with ArcGIS Online. Take GIS Data Formats, Design and Quality as a standalone course or as part of the Geographic Information Systems (GIS) Specialization. You should have equivalent experience to completing the first course in this specialization, Fundamentals of GIS, before taking this course. By completing the second class in the Specialization you will gain the skills needed to succeed in the full program.

Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE. How could you begin to model keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and a few applications. You can find a full syllabus and description of the course here: http://web.stanford.edu/~jacksonm/GTOC-Syllabus.html There is also an advanced follow-up course to this one, for people already familiar with game theory: https://www.coursera.org/learn/gametheory2/ You can find an introductory video here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4

Journalists develop information through interviews and sources. The most successful journalists quickly master these important skill sets. The production of journalism relies on several elements: newsgathering, interviewing sources, researching and trying to find as much information as possible. The course will also teach you how to where to find information, interviewing skills and how to process information from various sources for publication.

You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome? Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. In the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome as you would read a book from beginning to end. However, they can read shorter fragments of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces in what amounts to the largest jigsaw puzzle ever put together. In the second half of the course, we will discuss antibiotics, a topic of great relevance as antimicrobial-resistant bacteria like MRSA are on the rise. You know antibiotics as drugs, but on the molecular level they are short mini-proteins that have been engineered by bacteria to kill their enemies. Determining the sequence of amino acids making up one of these antibiotics is an important research problem, and one that is similar to that of sequencing a genome by assembling tiny fragments of DNA. We will see how brute force algorithms that try every possible solution are able to identify naturally occurring antibiotics so that they can be synthesized in a lab. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance.

The Geospatial Technologies for Engineers specialization is meticulously designed to equip learners with an in-depth understanding of geospatial tools and their application in engineering projects, leveraging L&T’s extensive industry expertise. Participants will delve into foundational concepts such as surveying, GNSS navigation, and advanced sensing systems like LiDAR, gaining hands-on experience in optimizing site management and enhancing project oversight through cutting-edge geospatial solutions. This specialization encompasses essential GIS fundamentals, data management, and spatial analysis techniques. Learners will investigate the integration of web and mobile GIS technologies for real-time monitoring and decision support, guided by L&T’s advanced methodologies and industry insights. The advanced module focuses on mastering QGIS, where participants will perform complex spatial analyses, 3D mapping, and satellite data integration. Ultimately, the course integrates theoretical knowledge with practical application, providing learners with a thorough understanding and practical expertise in various aspects of geospatial technologies across industries. Target Learners Post-Graduate Geoinformatics/Remote Sensing students, practicing Engineers in geospatial applications, Civil/Geospatial/Environmental Studies faculties & GIS professionals and project managers in spatial data analysis. Prerequisites Basics of Civil Engineering, Surveying, GIS & Construction Techniques.

El curso aborda la organización desde una perspectiva sistémica en donde todos los elementos interactúan para lograr un resultado productivo. Se enfatiza la importancia de habilidades gerenciales para lograr estos propósitos. Realizarás ejercicios para potencializar tus niveles de inteligencia emocional y comunicación asertiva implicando a tus colaboradores en el desarrollo de estas habilidades. Ésto, con el fin de generar climas laborales en donde la confianza, motivación y respeto sean actitudes cotidianas.

Global business ethics is the study and analysis of how ethics and global business are connected. Because commerce is about markets, and markets entail exchanges between people and groups of people, commerce is about human relationships.. One of the important challenges in global business is working out the extent of these obligations in the interrelationships between businesses and the particular local cultures in which that business operates. The ethical issues arising from these engagements, the kinds of values-based considerations out of which an organization negotiates with local concerns, and how an organization can be both an enabler of economic value while respecting cultural differences are important topics of this course. You will be able to: • Become morally sensitive to ethical dilemmas in global commerce • Identify ethical issues in global business • Master stakeholder analysis • Use a well-reasoned process by which to arrive at ethically defensible decisions • Differentiate between good and weak ethical arguments and defend conclusions This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

With globalization, multiculturalism is on the rise. Managers need to lead a workforce composed of individuals from diverse cultural backgrounds. Managers need to negotiate and cooperate with organizations from diverse cultures; they need to know about the effects that diverse cultures can have on business practices. This course introduces the fundamentals of multicultural management by describing the impact of culture on interpersonal processes in organizations, discussing how culture shapes communication, leadership, negotiation, and teamwork. Upon successful completion of this course, you will be able to: - understand how national cultures affect managerial activities such as communication, teamwork, negotiation, and leadership, - detect cultural differences and how to prevent & solve misunderstandings, - compare the culture of two countries using an instrument labeled “The Culture Map”, - improve your cross-cultural sensitivity, and - develop skills to diagnose cross-cultural issues and to come to a compromise.

In this three-course specialization, you will engage in the process of examination, self-reflection, and action to advance equity, diversity, and inclusion (DEI) through a global lens. In the first course, you reflect on how your identity and background have shaped your thoughts, actions, and relationships with others while exploring the historical narratives and power structures that have shaped your environment. Next, you begin to build a toolkit that can be leveraged to create a transformational change through leadership in the workplace. Finally, you will work through what is next with what you have learned through this specialization and how to make lasting change for yourself and your interactions with others. This specialization can be taken for academic credit as part of CU Boulder’s Master of Engineering in Engineering Management (ME-EM) degree offered on the Coursera platform. The ME-EM is designed to help engineers, scientists, and technical professionals move into leadership and management roles in the engineering and technical sectors. With performance-based admissions and no application process, the ME-EM is ideal for individuals with a broad range of undergraduate education and/or professional experience. Learn more about the ME-EM program at https://www.coursera.org/degrees/me-engineering-management-boulder. Specialization logo image credit: Tim Marshall. Available on Unsplash at https://unsplash.com/photos/cAtzHUz7Z8g

Starting in the late 1990s, “globalization” became a buzzword to describe the apparent integration of markets in the world economy. Many authors and pundits claimed that the world was converging towards a market-friendly democratic place, while gurus and consulting firms were rapidly producing formulae and advice on how to make profits out of the global economy. Decades later, new realities show that globalization does not necessarily mean political, cultural, and economic convergence and that, in fact, forces against it are strong. This course seeks to help you understand the forces of globalization and how cross-cultural management and the relationship of a multinational organization to various host countries is becoming more and more critical in today’s global economy. This course begins with the discussion of these issues and global relationships and delves into a deeper understanding of business strategy in today’s global business marketplace. You will be able to: • Understand how we got to the present moment of globalization and why it matters • Understand the complexities of the current globalization, recognizing not all countries are the same • Evaluate the effects of international trade regulations on international business • Evaluate when and why companies operate as multinationals This course is part of Gies College of Business’ suite of online programs, including the iMBA and iMSM. Learn more about admission into these programs and explore how your Coursera work can be leveraged if accepted into a degree program at https://degrees.giesbusiness.illinois.edu/idegrees/.

Welcome to Graphic Design, the second course in the Effective Communications Specialization. Over 70 different companies have provided this specialization to their employees as a resource for internal professional development. Why? Because employers know that effective visual communication is the key to attracting an audience, building a relationship, and closing the sale. This practical course gives you the tools to create professional looking PowerPoints, reports, resumes, and presentations. Using a set of best practices refined through years of experience, you’ll: • make your work look fresh and inspired. • apply simple design “tricks” to begin any project with confidence and professionalism. • receive and respond to criticism and revise your project from good to great. "This course is fantastic. It teaches a great amount of starter graphic design information but it is broken down into easily understood videos and quizzes. The quality was top notch and the interaction was as good as you would get in a brick and mortar school. I did not feel like I was missing anything by taking it online." - a recent Graphic Design student All of the course assignments can be completed with basic presentation software such as Microsoft PowerPoint, Google Slides, or Apple Keynote. You’ll also have opportunities to explore and apply more sophisticated tools, such as Adobe Photoshop, Illustrator, and InDesign. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

Grafikdesign ist präsenter als je zuvor! Wörter und Bilder – die Bausteine des Grafikdesigns – sind die Elemente, die den größten Teil des Inhalts der digitalen wie auch der gedruckten Welt beinhalten. Da Grafikdesign in unserem Leben sichtbarer und vorherrschender wird, wird Grafikdesign als Praxis in unserer Kultur immer wichtiger. In diesem Kurs lernen Sie anhand visueller Beispiele die Grundprinzipien des Grafikdesigns kennen: Bildgestaltung, Typografie, Komposition, Arbeiten mit Farbe und Form... Grundkenntnisse, die in allen Bereichen der Grafikdesignpraxis üblich sind. Ziel ist nicht, dass Sie sich nur ein Video von jemandem ansehen, der über Design spricht, stattdessen möchte ich, dass Sie Design MACHEN! Wenn Sie Designer werden möchten, müssen Sie Macher und Kommunikator sein. Dieser Kurs bietet Ihnen daher viele Möglichkeiten, um sich bei Übungen und praktischeren Projekten die Hände schmutzig zu machen. Am Ende dieses Kurses haben Sie gelernt, wie Sie die visuelle Darstellung durch eine Reihe von Bildgestaltungstechniken untersuchen und analysieren können. Sie werden die Grundprinzipien des Arbeitens mit Form, Farbe und Muster verstehen und sich mit den Begriffen und den Fähigkeiten der Typografie auseinandergesetzt haben; Außerdem verstehen Sie die Prinzipien der Komposition und des visuellen Kontrasts und haben diese angewandt. Wenn Sie den Kurs zusammen mit den optionalen (aber sehr empfohlenen) Aufgaben abschließen, verfügen Sie über grundlegende Fähigkeiten im Bereich Grafikdesign, die Sie auf Ihre eigenen Projekte anwenden oder einsetzen können, um einen speziellen Bereich des Grafikdesigns genauer zu untersuchen. Um diesen Kurs erfolgreich zu absolvieren, benötigen Sie Zugriff auf einen Computer. Sie können diesen Kurs zwar auch ohne Computer absolvieren, aber dann ist er schwieriger. Der Zugriff auf und Grundkenntnisse im Zusammenhang mit Adobe Creative Suite-Programmen wie Illustrator, Photoshop und InDesign sind hilfreich, insbesondere wenn Sie die optionalen Aufgaben absolvieren möchten.

En este curso, desarrollarás un plan estratégico que te permitirá identificar, desarrollar y alinear la misión, visión, valores y objetivos estratégicos de tu función directiva con los de la empresa en la que laboras. Del mismo modo diseñarás las estrategias e indicadores para lograrlo de manera realista y eficiente.

In this MOOC, you will learn how to hack web apps with command injection vulnerabilities in a web site of your AWS Linux instance. You will learn how to search valuable information on a typical Linux systems with LAMP services, and deposit and hide Trojans for future exploitation. You will learn how to patch these web apps with input validation using regular expression. You will learn a security design pattern to avoid introducing injection vulnerabilities by input validation and replacing generic system calls with specific function calls. You will learn how to hack web apps with SQL injection vulnerabilities and retrieve user profile information and passwords. You will learn how to patch them with input validation and SQL parameter binding. You will learn the hacking methodology, Nessus tool for scanning vulnerabilities, Kali Linux for penetration testing, and Metasploit Framework for gaining access to vulnerable Windows Systems, deploying keylogger, and perform Remote VNC server injection. You will learn security in memory systems and virtual memory layout, and understand buffer overflow attacks and their defenses. You will learn how to clone a Kali instance with AWS P2 GPU support and perform hashcat password cracking using dictionary attacks and known pattern mask attacks.

This course is for novice programmers or business people who would like to understand the core tools used to wrangle and analyze big data. With no prior experience, you will have the opportunity to walk through hands-on examples with Hadoop and Spark frameworks, two of the most common in the industry. You will be comfortable explaining the specific components and basic processes of the Hadoop architecture, software stack, and execution environment. In the assignments you will be guided in how data scientists apply the important concepts and techniques such as Map-Reduce that are used to solve fundamental problems in big data. You'll feel empowered to have conversations about big data and the data analysis process.

This specialization is intended for technologically minded persons who are interested in getting to know the latest in ubiquitous computing, also known as "Internet of Things". The specialization consists of 4 courses that are composed of a basic part with lectures and quizzes, and a practical "honors" part, which includes physically assembling and implementing functionality atop a networked device (please note: while the honors part of the courses is optional, it is required to purchase hardware to complete these practical parts of the courses). The courses are meant to be taken in sequence, as each course builds on the previous one, while adding more functions to the device in the honors section. The construction of the device introduces real-world challenges and technological approaches commonly encountered in the IoT industry and builds students’ confidence that they can do things for real.

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.

This Specialization is designed to help you navigate the complex legal framework that governs modern health systems. You will learn the fundamentals of American health law, then explore how privacy law shapes the relationship between healthcare providers and their patients. You will also learn how intellectual property law influences everything from the pharmaceutical industry, to medical research, to cutting-edge ethical issues involved in emerging technologies such as DNA-testing. Finally, the specialization will conclude with a study of how other countries vary in their approaches to solving the common problems that face all health systems.

The effects of climate change have prompted individuals and institutions to evaluate their impact on our planet. In this specialization, learn how you and global companies can reduce the harmful effects of overproduction and overconsumption on our health and the environment using quantitative metrics and assessment methods. This series will allow you to: Analyze the health impacts of global trade and identify the steps needed to reach sustainable consumption. Assess the nutritional and sustainable performances of 5,800 individual foods, analyzing the trade-offs between environmental, affordable, and healthy foods and diets. Calculate the environmental impact of systems and products over the entire product life cycle, from the cradle to the grave, by using the Life Cycle Assessment (LCA) methodology. Evaluate and mitigate the exposure, impacts, and risks of chemicals in a range of products, including personal care, cleaning, building products, and toys.

Welcome to Course 1 in CS4950, Homeland Security and Cybersecruity. In this course we examine the origins of homeland security and its connection with cybersecurity. Homeland security is about safeguarding the United States from domestic catastrophic destruction. Catastrophic destruction comes in two forms: natural and man-made. For most of history the man-made variety came in the form of warfare and required the combined resources of a nation state. All that changed March 20th, 1995. On that date, members of a quasi-religious cult in Japan attacked the Tokyo subway system using Sarin gas. It was the first deployment of a weapon of mass destruction my a non-state actor. The power of destruction once reserved to nation states was now available to small groups, even individuals. The incident was a wake up call for governments around the world. Defense establishments designed to keep rogue states in check were practically useless against non-state actors. Overnight, the number of potential enemies multiplied a hundred, maybe even a thousand-fold. In response to the Tokyo Subway Attacks, the United States took measures to protect itself from WMD attack by non-state actors. Those measures were still being enacted when the nation was attacked on 9/11. On September 11, 2001, nineteen hijackers inflicted as much damage as the Imperial Japanese Navy on December 7, 1941. The investigating 9/11 Commission noted the attacks for their "surpassing disproportion". The hijackers had achieved WMD effects without using WMD. They did this by subverting the nation's transportation infrastructure, turning passenger jets into guided missiles. Again, the security implications were profound. Non-state actors seeking to inflict domestic catastrophic destruction did not need to import, fabricate, or acquire WMD as the nation was surrounded by the means of its own destruction in the form of critical infrastructure. The vulnerability of critical infrastructure had not gone unnoticed. Again, in response to the Tokyo Subway attacks, which themselves had been an attack on Japanese infrastructure, President Clinton in 1996 commissioned a panel to investigate the threat to United States' infrastructure. The panel replied in 1997 that there was no immediate threat to US infrastructure, but they were concerned with the growing risk of cyber attack. The same cyber physical systems that fueled the explosive growth of the Internet were being incorporated into Industrial Control Systems that underpinned much of the nation's critical infrastructure. The panel noted that the knowledge and skills necessary to mount a cyber attack on the nation's infrastructure was growing. As a result of this observation, President Clinton in 1998 ordered the protection of US critical infrastructure, especially from cyber attack. Following 9/11, critical infrastructure protection and cybersecurity were designated core missions in the 2002 Homeland Security Act establishing the new Department of Homeland Security. They remain core missions to this day, but many don't see the connection. The connection is this: cybersecurity is essential to critical infrastructure protection, which is essential to homeland security, which is about safeguarding the United States from domestic catastrophic destruction. I look forward to working with you in the coming lessons. Best wishes and good luck! Course 1: Homeland Security & Cybersecurity Connection Course 2: Cybersecurity Policy for Water and Electricity Infrastructures Course 3: Cybersecurity Policy for Aviation and Internet Infrastructures Course 4: Homeland Security & Cybersecurity Future

In the capstone project, you will combine the skills you’ve learned in the prior four courses of the specialization to polish your elevator speeches, complete your resumes - including multiple versions for different targets - complete your story file, identify possible jobs or careers, perform the research you have learned to do, write suitable cover letters, and ideally land a job! You will: 1. Develop a personal marketing plan and campaign for getting interviews. 2. Identify at least three organizations with open positions for which you want to apply. 3. Research those organizations and positions. 4. Prepare pitch sheets and J.I.S.T. cards (mini-resumes) targeting those positions. 5. Complete your resume, and if necessary complete multiple versions to target each position. 6. Write appropriate cover letters for the positions. 7. Record and evaluate responses to a set of standard interview questions. 8. Record and evaluate responses to a set of predictable behavioral interview questions. 9. Record and evaluate a response to one situational interview question. 10. Record and evaluate a response to one wild-card question. As the specialization has focused throughout on the real-world skills you need to research yourself, the market, and a company and has given you strategies and tools to prepare for and succeed in an interview, the capstone project should align with what you have been trained for and position you to land the job you want!

Biotech companies are transforming the world, but launching a biotech startup comes with unique challenges—protecting intellectual property, securing funding, and building a strong team. This course empowers you with the knowledge and confidence to tackle these issues. You’ll learn how to build a high-performing team, manage finances effectively, ensure your venture is aligned with the market, protect your intellectual property, and navigate legal and regulatory hurdles. Offered by the Technical University of Munich, one of Europe’s leading research and innovation hubs, the course combines academic expertise with practical insights from industry experts, patent attorneys, and entrepreneurs who share their real-world advice and experiences, giving you the tools to successfully bring your biotech innovation to life.

This six course specialization is designed to prepare you to take the certification examination for IBM AI Enterprise Workflow V1 Data Science Specialist. IBM AI Enterprise Workflow is a comprehensive, end-to-end process that enables data scientists to build AI solutions, starting with business priorities and working through to taking AI into production. The learning aims to elevate the skills of practicing data scientists by explicitly connecting business priorities to technical implementations, connecting machine learning to specialized AI use cases such as visual recognition and NLP, and connecting Python to IBM Cloud technologies. The videos, readings, and case studies in these courses are designed to guide you through your work as a data scientist at a hypothetical streaming media company. Throughout this specialization, the focus will be on the practice of data science in large, modern enterprises. You will be guided through the use of enterprise-class tools on the IBM Cloud, tools that you will use to create, deploy and test machine learning models. Your favorite open source tools, such a Jupyter notebooks and Python libraries will be used extensively for data preparation and building models. Models will be deployed on the IBM Cloud using IBM Watson tooling that works seamlessly with open source tools. After successfully completing this specialization, you will be ready to take the official IBM certification examination for the IBM AI Enterprise Workflow.