Earn Coins on World-Class Courses

This specialization is intended for those interested in sports marketing, sports administration, the MLB, and American culture & globalization. It is highly beneficial to those interested in American history and fans of baseball. Throughout the four courses, learners will track American history and baseball history side-by-side.

Being financially and data-literate is a requirement of all effective leaders. This includes the ability to analyse data and harness its value, as well as to leverage these skills to become a future-focused business leader. In four themed courses, this specialisation will: teach you that financial literacy is a required capability for every business leader (Know Your Numbers 1); provide you with a foundational understanding of how to manage your organisation’s finances effectively (Know Your Numbers 2); equip you with tools to analyse data and generate market insights (Generate Insights); and explore what to measure to maximise customer value (Know Your Customers).

In this comprehensive overview of annual giving programs, you’ll gain an introduction to the basic terminology and concepts of annual giving as well as the various solicitation channels and donor types. Learn how to write a direct mail appeal, craft an impactful email appeal, and develop a script for phone solicitation. You’ll learn how to build a leadership annual giving portfolio and maximize the impact of memberships and events in annual campaigns. You’ll complete the course with the knowledge and skills to build and implement a multi-channel solicitation strategy that achieves the goals of an annual campaign.

This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework. The third week will be a tutorial of functionality available in matplotlib, and demonstrate a variety of basic statistical charts helping learners to identify when a particular method is good for a particular problem. The course will end with a discussion of other forms of structuring and visualizing data. This course should be taken after Introduction to Data Science in Python and before the remainder of the Applied Data Science with Python courses: Applied Machine Learning in Python, Applied Text Mining in Python, and Applied Social Network Analysis in Python.

This course will introduce the learner to network analysis through tutorials using the NetworkX library. The course begins with an understanding of what network analysis is and motivations for why we might model phenomena as networks. The second week introduces the concept of connectivity and network robustness. The third week will explore ways of measuring the importance or centrality of a node in a network. The final week will explore the evolution of networks over time and cover models of network generation and the link prediction problem. This course should be taken after: Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, and Applied Machine Learning in Python.

This course introduces an overview of financial analytics. You will learn why, when, and how to apply financial analytics in real-world situations. You will explore techniques to analyze time series data and how to evaluate the risk-reward trade off expounded in modern portfolio theory. While most of the focus will be on the prices, returns, and risk of corporate stocks, the analytical techniques can be leverages in other domains. Finally, a short introduction to algorithmic trading concludes the course. After completing this course, you should be able to understand time series data, create forecasts, and determine the efficacy of the estimates. Also, you will be able to create a portfolio of assets using actual stock price data while optimizing risk and reward. Understanding financial data is an important skill as an analyst, manager, or consultant.

In the previous course, you learned financial statement analysis and how to make estimate of future financial status. In this course, you are going to learn capital budgeting. That is, how to make an investment decision. You would like to select the best project among various projects you can take. Then, you need to know the criteria. In this course, you are going to learn investment decision criteria such as NPV and IRR, which are most popular decision rules. Using financial analysis and discounted cash flow method, you can make pro forma financial statement and estimate project cash flows. Then, you apply investment criteria to determine whether to invest or not. After learning how to apply NPV and IRR method to investment decision, you are going to learn how to evaluate NPV estimate and scenario, what-if analyses and break-even analysis. In addition to NPV and IRR, you are going to learn Payback period method and Profitability method to determine whether to invest or not when there is a political risk or capital rationing.

Aprende cómo enganchar a tus estudiantes e impulsar el aprendizaje en matemáticas y ciencias con laboratorios virtuales gratuitos y simulaciones del proyecto PhET Interactive Simulations de la Universidad de Colorado Boulder (https://phet.colorado.edu/es). En esta especialización, explorarás estrategias de aprendizaje activo que puedes incorporar en tu propio salón de clases, ya sea virtual o en presencial. También aprenderás cómo evaluar la efectividad de una experiencia de aprendizaje implementando un plan de clase basado en simulaciones en tu propio salón de clases. Fundado en 2002 por el ganador del Premio Nobel de Física Carl Wieman, el proyecto PhET Interactive Simulations crea simulaciones gratuitas para ciencias y matemáticas que se basan en una extensa investigación educativa sobre el diseño de herramientas virtuales para la educación y cómo implementarlas con éxito en el aula. Esta especialización tomará aproximadamente 9 semanas y 45 horas de trabajo en completarse e incluye tres cursos: (1) Introducción a las simulaciones PhET para la educación STEM (2) Diseño de actividades con simulaciones PhET para la educación STEM (3) Implementación de actividades PhET para la educación STEM Esta especialización también está disponible en inglés con el nombre "Active Learning in STEM with PhET Interactive Simulations".

>>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<< This specialization introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of presentations, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including securely interconnecting networks, customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring. This class is intended for the following participants: ● Cloud Solutions Architects, DevOps Engineers. ● Individuals using Google Cloud Platform to create new solutions or to integrate existing systems, application environments, and infrastructure with the Google Cloud Platform.

In questi corsi acquisirai dimestichezza con l'infrastruttura flessibile di Google Cloud e i servizi della piattaforma, concentrandoti in modo specifico su Compute Engine. In questa sessione viene utilizzata una combinazione di lezioni, demo e lab pratici che consentono di esplorare ed eseguire il deployment di elementi della soluzione, inclusi i componenti dell'infrastruttura, come le reti, i sistemi e i servizi per le applicazioni. Scoprirai anche come eseguire il deployment di soluzioni pratiche, come networking ibrido, chiavi di crittografia fornite dal cliente, sicurezza e gestione degli accessi, quote e fatturazione e monitoraggio delle risorse.

Google Cloud 인증 사용자의 87%는 자신의 클라우드 기술에 대해 자신감을 갖고 있습니다. 이 프로그램은 경력을 발전시키는 데 필요한 기술과 업계에서 인정하는 Google Cloud Associate Cloud Engineer 인증 준비를 지원하는 교육을 제공합니다. Google Cloud 인증을 향한 여정: 1) Coursera 클라우드 엔지니어링 전문가 인증서 완료 2) Google Cloud Associate Cloud Engineer 인증 시험에 대한 기타 권장 리소스 검토 3) Associate Cloud Engineer 시험 가이드 검토 4) Associate Cloud Engineer 샘플 질문 작성 5) Google Cloud 인증 시험 등록(원격 또는 테스트 센터) 응용 학습 프로젝트 이 전문 인증서에는 Qwiklabs 플랫폼을 사용하는 실습 랩이 포함되어 있습니다. 이러한 실습 구성 요소를 통해 배운 기술을 적용할 수 있습니다. 프로젝트는 Qwiklabs 내에서 사용되는 Google Cloud Platform 제품을 통합합니다. 모듈 전반에 걸쳐 설명된 개념을 통해 실제적인 실습 경험을 얻을 수 있습니다.

Google Kubernetes Engine(GKE)에서 컨테이너화된 애플리케이션을 배포하고 관리하는 방법을 알아봅니다. GKE 배포와 연동되는 Google Cloud의 다른 도구를 사용하는 방법을 알아봅니다. 이 과정은 네트워크 및 애플리케이션 서비스와 함께 포드, 컨테이너, 배포, 서비스와 같은 인프라 구성요소를 포함한 솔루션 요소를 탐색하고 배포하는 데 도움이 되도록 강의, 데모, 실무형 실습으로 이루어져 있습니다. 또한, 보안 및 액세스 관리, 리소스 관리, 리소스 모니터링을 비롯한 실용적인 솔루션을 배포하는 방법도 학습하게 됩니다

This Specialization is designed to help anyone involved in developing software for Arm Cortex-M processors. Over four courses you will develop your knowledge of this popular microcontroller variant used in a plethora of devices throughout the world. Whether you're a computing/engineering professional, student, or hobbyist, the training aims to give you the essential knowledge and interactive experience required to get your Cortex-M software project up-and-running, avoiding costly mistakes.

This Specialization is intended for beginners seeking to enter the artificial intelligence world. Through five courses, you will cover artificial intelligence technical groundings (including machine learning and technologies), ethical and legal issues, which will give you a clear picture of what artificial intelligence is and what opportunities artificial intelligence will provide in the next future.

Welcome to Asymmetric Cryptography and Key Management! In asymmetric cryptography or public-key cryptography, the sender and the receiver use a pair of public-private keys, as opposed to the same symmetric key, and therefore their cryptographic operations are asymmetric. This course will first review the principles of asymmetric cryptography and describe how the use of the pair of keys can provide different security properties. Then, we will study the popular asymmetric schemes in the RSA cipher algorithm and the Diffie-Hellman Key Exchange protocol and learn how and why they work to secure communications/access. Lastly, we will discuss the key distribution and management for both symmetric keys and public keys and describe the important concepts in public-key distribution such as public-key authority, digital certificate, and public-key infrastructure. This course also describes some mathematical concepts, e.g., prime factorization and discrete logarithm, which become the bases for the security of asymmetric primitives, and working knowledge of discrete mathematics will be helpful for taking this course; the Symmetric Cryptography course (recommended to be taken before this course) also discusses modulo arithmetic. This course is cross-listed and is a part of the two specializations, the Applied Cryptography specialization and the Introduction to Applied Cryptography specialization.

In this MOOC, we will learn the basic concepts and principles of crytography, apply basic cryptoanalysis to decrypt messages encrypted with mono-alphabetic substitution cipher, and discuss the strongest encryption technique of the one-time-pad and related quantum key distribution systems. We will also learn the efficient symmetric key cryptography algorithms for encrypting data, discuss the DES and AES standards, study the criteria for selecting AES standard, present the block cipher operating modes and discuss how they can prevent and detect the block swapping attacks, and examine how to defend against replay attacks. We will learn the Diffie-Hellman Symmetric Key Exchange Protocol to generate a symmetric key for two parties to communicate over insecure channel. We will learn the modular arithmetic and the Euler Totient Theorem to appreciate the RSA Asymmetric Crypto Algorithm, and use OpenSSL utility to realize the basic operations of RSA Crypto Algorithm. Armed with these knowledge, we learn how to use PHP Crypto API to write secure programs for encrypting and decrypting documents and for signing and verify documents. We then apply these techniques to enhance the registration process of a web site which ensures the account created is actually requested by the owner of the email account.

This Specialization is intended for all learners seeking to develop proficiency in statistics, Bayesian statistics, Bayesian inference, R programming, and much more. Through four complete courses (From Concept to Data Analysis; Techniques and Models; Mixture Models; Time Series Analysis) and a culminating project, you will cover Bayesian methods — such as conjugate models, MCMC, mixture models, and dynamic linear modeling — which will provide you with the skills necessary to perform analysis, engage in forecasting, and create statistical models using real-world data.

Investors tend to be their own worst enemies. In this third course, you will learn how to capitalize on understanding behavioral biases and irrational behavior in financial markets. You will start by learning about the various behavioral biases – mistakes that investors make and understand their reasons. You will learn how to recognize your own mistakes as well as others’ and understand how these mistakes can affect investment decisions and financial markets. You will also explore how different preferences and investment horizons impact the optimal asset allocation choice. After this course, you will be more effective in overcoming biases to do the wrong things at the wrong times and tailoring an investment strategy that is best suited on your or your client’s profile and investment needs.

Blockchain is poised to transform every industry and managerial function—redefining the ways we transact online, share ideas, and manage workflows. It’s a new technology that every business professional needs to understand. This four-course Specialization introduces you to the world of blockchain technology—explaining what blockchain is, how it works, and why it’s revolutionary. You will learn about various categories of cryptoassets, and the ways they can be transacted on a blockchain. You will learn how blockchain is disrupting business models and financial services, offering organizations new choices in how they create and manage value. The Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book Blockchain Revolution. It also includes various industry experts and developers from the Ethereum Foundation, Grid Singularity, Keyless Technologies, and ResonanceX who will share their experiences within the blockchain ecosystem. Additionally, you will gain access to ground-breaking research from the Blockchain Research Institute as well as the Blockchain Case Commons—a crowdsourced collection of blockchain applications and use-cases spanning multiple industries. Upon completion of this Specialization, you will produce a Blockchain Opportunity Analysis, in which you identify and evaluate a promising application of blockchain technology in your own industry.

As the Internet was the first digital medium for information, blockchain is the first native digital medium for value. Blockchain is poised to transform the economy and society at large—redefining the ways we transact online, share ideas, and manage workflows. The financial services sector is a key lever in such transformations. This four-course specialization introduces learners to the world of blockchain technology for financial services—including what blockchain is, how it works, and why it is revolutionary. Students learn about various categories of cryptoassets and the ways they can be transacted on a blockchain. They learn how blockchain is transforming the economy and society at large—redefining workflows, global payments, and prosperity. As an outcome of this specialization, students produce a Strategic Action Plan wherein they identify and evaluate a promising application of blockchain technology within the financial services industry. The Specialization is taught by Don Tapscott and Alex Tapscott, globally-recognized authorities on innovation and technology and authors of the best-selling book, “Blockchain Revolution.” It also includes various industry experts and practitioners who will share their experiences within the blockchain ecosystem.

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.

Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics specialization is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.\n\nThe courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include:\n\nData strategy at firms Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making Understanding data modeling and predictive analytics at a high-level Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness.

Confidence intervals and Hypothesis tests are very important tools in the Business Statistics toolbox. A mastery over these topics will help enhance your business decision making and allow you to understand and measure the extent of ‘risk’ or ‘uncertainty’ in various business processes. This is the third course in the specialization "Business Statistics and Analysis" and the course advances your knowledge about Business Statistics by introducing you to Confidence Intervals and Hypothesis Testing. We first conceptually understand these tools and their business application. We then introduce various calculations to constructing confidence intervals and to conduct different kinds of Hypothesis Tests. These are done by easy to understand applications. To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. Please note that earlier versions of Microsoft Excel (2007 and earlier) will not be compatible to some Excel functions covered in this course. WEEK 1 Module 1: Confidence Interval - Introduction In this module you will get to conceptually understand what a confidence interval is and how is its constructed. We will introduce the various building blocks for the confidence interval such as the t-distribution, the t-statistic, the z-statistic and their various excel formulas. We will then use these building blocks to construct confidence intervals. Topics covered include: • Introducing the t-distribution, the T.DIST and T.INV excel functions • Conceptual understanding of a Confidence Interval • The z-statistic and the t-statistic • Constructing a Confidence Interval using z-statistic and t-statistic WEEK 2 Module 2: Confidence Interval - Applications This module presents various business applications of the confidence interval including an application where we use the confidence interval to calculate an appropriate sample size. We also introduce with an application, the confidence interval for a population proportion. Towards the close of module we start introducing the concept of Hypothesis Testing. Topics covered include: • Applications of Confidence Interval • Confidence Interval for a Population Proportion • Sample Size Calculation • Hypothesis Testing, An Introduction WEEK 3 Module 3: Hypothesis Testing This module introduces Hypothesis Testing. You get to understand the logic behind hypothesis tests. The four steps for conducting a hypothesis test are introduced and you get to apply them for hypothesis tests for a population mean as well as population proportion. You will understand the difference between single tail hypothesis tests and two tail hypothesis tests and also the Type I and Type II errors associated with hypothesis tests and ways to reduce such errors. Topics covered include: • The Logic of Hypothesis Testing • The Four Steps for conducting a Hypothesis Test • Single Tail and Two Tail Hypothesis Tests • Guidelines, Formulas and an Application of Hypothesis Test • Hypothesis Test for a Population Proportion • Type I and Type II Errors in a Hypothesis WEEK 4 Module 4: Hypothesis Test - Differences in Mean In this module, you'll apply Hypothesis Tests to test the difference between two different data, such hypothesis tests are called difference in means tests. We will introduce the three kinds of difference in means test and apply them to various business applications. We will also introduce the Excel dialog box to conduct such hypothesis tests. Topics covered include: • Introducing the Difference-In-Means Hypothesis Test • Applications of the Difference-In-Means Hypothesis Test • The Equal & Unequal Variance Assumption and the Paired t-test for difference in means. • Some more applications

In a world driven by big data, it is crucial to understand how valuable information can be extracted from large volumes of data. Further, it is pivotal to utilize information to its full potential. This not only requires one to extract value from data but also to effectively communicate the information obtained. The Business Data Management and Communication Specialization is tailored to deliver a well-balanced curriculum that focuses on all three aspects - Understanding Data, Extracting Valuable Information, and Effective Communication. The courses in this Specialization will focus on advanced accounting, working with big data, communicating data and information analysis. Topics covered include: Understand the basics of how to analyze balance sheet and cash flow statements Understand how accrual accounting and fundamental accounting concepts work Learn how to collect, analyze, and visualize data and use the same in decision making processes Learn how to use R to communicate data analytics results Explore various ways that information can generate economic value Understand how crucial information is and learn how to gauge the potential of valuable information

This course aims to improve your Business English language skills by developing your vocabulary and reading skills and your understanding of tone, style and knowledge of communication methods. We'll also cover how these language skills can enhance audience analysis, business case analysis and basic business communication strategies. Skills learned in this course will often be referred to and needed to complete the speaking, writing and cross-cultural communications courses of this Specialization. After completing this course, you will be able to: - describe things and events in the context of Business English - make requests in the context of Business English - support arguments in the context of Business English - use appropriate tone and style according to the context of Business English - conduct an audience analysis - match audience with the purpose and medium of communication - analyse and summarise business data

This course teaches you language and techniques that will help you make effective presentations in English. The final task is to develop a well-organized, persuasive presentation using charts and graphs that sells your city as a venue. The course focuses on students who have an intermediate level of English, with a minimum of two years of formal language study. Course Learning Objectives • Present information in an organized and engaging way • Share data in charts and graphs • Use persuasive language in a presentation

In this course, the context is hosting an event and finding an appropriate venue for it. You will learn language and strategies for successful negotiations culminating in a written announcement for an event. Course Learning Objectives • Negotiate strategically in formal and informal settings • Identify and resolve customer issues after a negotiation has taken place • Evaluate and compare services and features of two venues • Plan a business event using negotiation skills • Write an announcement for a business event after selecting a venue

In this Specialization, you’ll develop basic literacy in the language of business, which you can use to transition to a new career, start or improve your own small business, or apply to business school to continue your education. In four courses, you’ll learn the fundamentals of marketing, accounting, operations, and finance. In the final Capstone Project, you’ll apply the skills learned by developing a go-to-market strategy to address a real business challenge.

In this Specialization, you’ll develop basic literacy in the language of business, which you can use to transition to a new career, start or improve your own small business, or apply to business school to continue your education. In five courses, you’ll learn the fundamentals of marketing, accounting, operations, and finance. In the final Capstone Project, you’ll apply the skills learned by developing a go-to-market strategy to address a real business challenge.

Get the tools you need to analyze, evaluate and recommend specific actions organizations can take to grow their value and avoid common growth pitfalls. In this course, developed at the Darden School of Business at the University of Virginia and taught by top-ranked faculty, you will learn to determine how best to build value, whether by scaling existing markets, entering established markets or creating new markets through innovation and acquisitions.

You’re not just interested in making money. You’re interested in making a difference in the world too. Set your career and your business on the road to success by learning evidence-based strategies to achieve sustainable social impact: profits with purpose. This specialization was designed to give you the tools and strategies you need to create measurable social impact around the world – whether your impact goal is to create jobs, to reduce malnutrition, or to increase access to environmentally-friendly and affordable housing, or to make a positive difference in some other way. In these four courses taught by acclaimed Wharton professors, you’ll learn how to apply effective business strategies to real-world problems through a deep understanding of the global practices and trends shaping the world today. By the end of this Specialization, you’ll be able to: ● Lead, invest and make business decisions for social impact ● Analyze information about global trends to make more informed strategic business decisions ● Understand the role of corruption in societies so you can make better business decisions ● Develop, launch, test, and scale entrepreneurship projects which have high-potential of significant positive social impact

This Specialization covers both the dynamics and the global aspects of strategic management. You'll learn how to evaluate industry evolution, build and sustain competitive advantage, formulate and assess business strategies, and align efforts to organizational strategy. In the final Capstone Project, you’ll apply your skills by creating a comprehensive Strategic Analysis for an existing business or a venture of your own.

In an era of thriving businesses, both small and large, it is crucial to possess an in-depth understanding of the minutiae of the building blocks of a successful organization. Building, growing, and sustaining a successful business requires great knowledge in multiple fields. Through this 6-course Specialization in Business Value and Project Management, you will be provided a well-rounded knowledge of three key facets of business – Financial Accounting and Managing Projects and Organizations.\n\nThe courses in this Specialization focus on financial accounting topics, organizational principles and frameworks, and project planning and execution. Topics covered include:\n\nUnderstand the basics of how to analyze balance sheet and cash flow statements Understand how accrual accounting and fundamental accounting concepts work Develop strategies to facilitate organizational growth Develop solutions to common managerial challenges Explore a plethora of project planning models and understand when each is most effective Understandhow execution and progress evaluation is performed in a waterfall approach, as well as the agile approach to project management

Writing well is one of the most important skills you can develop to be successful in the business world. Over seventy companies and thirty thousand students--from professional writers to new employees to non-native English speakers to seasoned executives--have used the techniques in Business Writing to power their ability to communicate and launch their ideas. This course will teach you how to apply the top ten principles of good business writing to your work, how to deploy simple tools to dramatically improve your writing, and how to execute organization, structure, and revision to communicate more masterfully than ever. From the very first lesson, you'll be able to apply your new learning immediately to your work and improve your writing today. Your ideas are powerful. Learn how to deliver them with the clarity and impact they deserve. "Thank you for giving me the knowledge I need in life. [Business Writing] was helpful, life changing, and has made a huge impact in my writing." -- Message from a Business Writing student The principles you'll learn in this course enable you to become a great business writer. They also provide the foundation for moving into Graphic Design and Successful Presentation, so that you can unleash your best professional self whenever--and however--you present your ideas in the workplace. 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.

Wharton's Business and Financial Modeling Specialization is designed to help you make informed business and financial decisions. These foundational courses will introduce you to spreadsheet models, modeling techniques, and common applications for investment analysis, company valuation, forecasting, and more. When you complete the Specialization, you'll be ready to use your own data to describe realities, build scenarios, and predict performance.

This is it! It is time for YOU to be the journalist, and practice and display the skills you have learned through this Specialization journey. You will create your own professional journalistic portfolio, culminating in the creation of your own news report from start to finish. You will go through all the steps and skills used by professional journalists: conceptualizing a news report idea, reporting, interviewing, researching, and then compiling the information for an audience. Your learner community, along with the Michigan State Journalism team, will be with you every step of the way. Having a professional portfolio will help you market yourself as a journalist, showing off your work product, as well as practice and hone your journalistic skill set. You will receive an exclusive premium "Journalism" badge for social media, to display your Capstone completion.

Congratulations on reaching the Capstone Class of the Become a Sustainable Business Change Agent specialization. The class will help you apply material from the previous three classes. We have developed a case about a hypothetical ski resort that offers lots of opportunities to develop sustainability recommendations. A second option is do develop a proposal for a change in your company or organization. Or you can do both the case and your own proposal. The goal of the class is to have you practice the entire process from identifying a problem, finding a possible solution, doing analysis to determine the proposed change's financial and sustainability impacts, figure out who to present the proposal and what they need to see to say 'Yes' and develop a budget and implementation plan. It is big assignment, but if you have gone through the material in the first three classes you should be well-equipped for the challenge. We hope that the concepts and tools we have introduced will start you on your way to making positive changes in your company, organization, community and the world. We have provided just the most basic tolls. As you progress you will enhance your skills and become more effective. Best of luck on all you change endeavors.

Actively creating a career journey that is fulfilling and integrates the best use of our personal strengths and skills is crucial to deriving value from the work that we do. This specialization covers career planning, leadership and other essential skills and concepts, and what they mean for individuals in their career development. It starts with career planning as a pathway to employment, developed at the University System of Georgia, which comprises Georgia's public colleges and universities, Georgia Archives and the Georgia Public Library Service. It then introduces successful career development, which provides you with the tools to network with intention and get the most value out of LinkedIn. The specialization then switches gears into what it takes to research a new career and acquire the skills necessary to succeed in it. Finally, you will be asked to reflect on your experiences and critically evaluate what you currently know, what you need to acquire, and how to go about getting it. This is tied together with prior knowledge on how to then leverage your network to connect with people that can serve and support you in exploring a new career.

This course is designed to foster creative approaches to launching a new career. You will articulate best ways to make a first impression and analyze your strengths by creating a personal statement. You will identify appropriate elements to make your resume stand out from the crowd. You will also identify the most effective ways a cover letter can answer a job description, and how to best leverage social media in your job search. In short, this course will help you to prepare for a new job. You will learn how to apply, network, leverage social media, interview, follow-up, and evaluate options through research and with the help of experienced faculty and talented professional. Launching Your Career provides insight from industry leaders on job search, networking and interviewing. You will receive guidance and best practice tips on how to master the interview and professionally close the loop. You will also compose a thank you note and clearly relate your ideal career to existing job titles and offers.

Who is this course for ? This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors. The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects. We want to ignite your reflection process. Hence, you will best make use of the Accenture cases by watching first the MOOC and then investigate by yourself on the different concepts, industries, or challenges that are introduced during the videos. At the end of this course learners will be able to: - identify the possible applications of business analytics, - hence, reflect on the possible solutions and added-value applications that could be proposed for their capstone project. The cases will be presented by senior practitioners from Accenture with different backgrounds in term of industry, function, and country. Special attention will be paid to the "value case" of the issue raised to prepare you for the capstone project of the specialization. About Accenture Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions—underpinned by the world’s largest delivery network—Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With more than 358,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com.

The purpose of this course is to provide you with an understanding of central bank policies and how such policies affect financial markets and the economy. The main aim of this course is to provide you with insights about the macroeconomic relationships between interest rates, inflation, and unemployment that allow you to assess central bank actions and appreciate how this action will affect the economy. The ability to extract relevant information from financial market and economic data about the macroeconomic environment and central bank actions is an important skill that will be useful for your decision-marking in your professional career and your personal financial choices.

Nowadays, a distribution strategy is part of the DNA of many companies and a correct channel management is key for the success of your product. Distribution plans need to be prepared for the long run, combining the following main areas: company profile, portfolio structure and price positioning, go-to-market policy, trade and retail marketing, e-commerce and global retail management. In the last decade, there have been two main revolutions that have affected industries, increasing the importance of Distribution Channel Management. Profesor Maria Teresa Aranzabal guides you through: - The IT revolution: considering developments in CRM, supply chain, planning tools, merchandise and reallocation systems, amongst others. - The retail focus: how a clear retail strategy can be a differentiator for companies and a strong weapon of competitiveness. In this course you will learn how to stay up-to-date on how companies are adding these aspects to their main strategic guidelines and making them key points in their managerial decision-making process. The main goal of this course is that you understand how channel management and retailing can improve performance in your business. We use interviews with industry experts and give real-life examples of how to ensure your business makes the most of this vital area of marketing.

Nǐ hǎo! 你好！Welcome to Chinese for HSK Level 1 - a Chinese course for beginners. My name is YU Bin. I am very happy to meet you here! HSK stands for Hànyǔ (Chinese) Shuǐpíng (level) Kǎoshì (test), which is the most important Chinese proficiency test in use today. It assesses non-native Chinese speakers’ abilities in using Chinese in their daily, academic and professional lives. Chinese for HSK Level 1 is the first part of the 6 levels and assesses test takers’ abilities in the application of everyday Chinese. It is the counterpart of Level 1 of the Chinese Language Proficiency Scales for Speakers of Other Languages and the A1 Level of the Common European Framework of Reference for Languages. You will learn:  30 video lectures with dialogue role plays by PKU students;  More than 150 commonly used words;  Around 50 key grammar points;  New words and texts via audio;  Quizzes for each lesson and HSK test papers;  Videos for 70 basic Chinese characters (optional);  Supplementary materials about China (optional). In short, the course covers the four skills although only listening and reading are tested in HSK. At the end of the course, you will be able to understand and use simple Chinese phrases, meet basic needs for communication and possess the ability to further your Chinese language studies. Have a fantastic journey of Chinese learning. For more information about HSK please visit: http://english.hanban.org/node_7581.htm.

大家好！Hi, everyone, welcome to join our Chinese for HSK Level 3 course. This is CHEN Li and LU Yun, and we are very happy to meet you here! Chinese for HSK 3 is a 10-week course. It consists of two parts: Part I, which is a 6-week program, covers vocabulary and grammar delivered mainly through dialogues and passages; Part II takes 4 weeks to complete and the foci are exercises and testing strategies. Chinese for HSK 3 aims at the third level of HSK. It is the counterpart of Level 3 of the Chinese Language Proficiency Scales for Speakers of Other Languages and the B1 Level of the Common European Framework of Reference for Languages. Chinese for HSK 3 Part I includes:  30 video lectures with dialogue role plays by PKU students;  More than 300 new words on the basis of HSK 1 and HSK 2;  More than 60 new grammar points;  Review the words you have learnt in HSK 1 and HSK 2 courses.  New words and texts via audio;  Quizzes for each lesson and HSK test papers; At the end of the course, you will be able to communicate in Chinese at a basic level in your daily, academic and professional lives. You can manage most communication in Chinese when travelling in China. Specifically, you will master certain grammar knowledge containing fundamental sentence structure and usage like sentences with “把”, sentences with “被”(passive voice), comparative sentences and rhetorical questions. Moreover, you will master the meaning of fixed structure and usage of sentences like “….for sb…”(对…来说), “increasingly…” (越来越), etc. It does not matter if you complete HSK Level 1-2 or not, as long as you have obtained basic Chinese language competency. Hope you enjoy our Part I course and glad to see you in our next Part II course. CHEN Li, LU Yun and Chinese for HSK Level 3 team.

大家好！Hi, everyone, welcome to join our Chinese for HSK Level 3 course. This is CHEN Li and LU Yun, and we are very happy to meet you here! Chinese for HSK 3 is a 10-week course. It consists of two parts: Part I, which is a 6-week program, covers vocabulary and grammar delivered mainly through dialogues and passages; Part II takes 4 weeks to complete and the foci are exercises and testing strategies. The HSK (Level 3) test is made up of listening comprehension, reading comprehension and writing sections and contains a total of 80 items.The test will last for 90 minutes in total (including 5 minutes in which the test takers fill in personal information). In this course, You will learn:  Know about the HSK Level 3 Test  Know about each type of questions and be familiar with test requirements.  Review the words you have learnt in HSK 1 ,HSK 2 and HSK 3 Part I courses.  A lot of Practices from Sample Test and Official Examination Paper of HSK Level 3.  Help to improve your Chinese aural comprehension abilities and test skills.  Quizzes for each lesson and HSK test papers. It does not matter if you complete HSK Level 1-2 or not, as long as you have obtained basic Chinese language competency. Hope you enjoy our courses CHEN Li, LU Yun and Chinese for HSK Level 3 team.

Welcome to Introduction to Applied Cryptography. Cryptography is an essential component of cybersecurity. The need to protect sensitive information and ensure the integrity of industrial control processes has placed a premium on cybersecurity skills in today’s information technology market. Demand for cybersecurity jobs is expected to rise 6 million globally by 2019, with a projected shortfall of 1.5 million, according to Symantec, the world’s largest security software vendor. According to Forbes, the cybersecurity market is expected to grow from $75 billion in 2015 to $170 billion by 2020. In this specialization, you will learn basic security issues in computer communications, classical cryptographic algorithms, symmetric-key cryptography, public-key cryptography, authentication, and digital signatures. These topics should prove especially useful to you if you are new to cybersecurity Course 1, Classical Cryptosystems, introduces you to basic concepts and terminology related to cryptography and cryptanalysis. It is recommended that you have a basic knowledge of computer science and basic math skills such as algebra and probability.

This course covers practical techniques to elicit and express software requirements from client interactions.

Welcome to the Cloud Computing Applications course, the first part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this first course we cover a multitude of technologies that comprise the modern concept of cloud computing. Cloud computing is an information technology revolution that has just started to impact many enterprise computing systems in major ways, and it will change the face of computing in the years to come. We start the first week by introducing some major concepts in cloud computing, the economics foundations of it and we introduce the concept of big data. We also cover the concept of software defined architectures, and how virtualization results in cloud infrastructure and how cloud service providers organize their offerings. In week two, we cover virtualization and containers with deeper focus, including lectures on Docker, JVM and Kubernates. We finish up week two by comparing the infrastructure as a service offering by the big three: Amazon, Google and Microsoft. Week three moves to higher level of cloud offering, including platform as a service, mobile backend as a service and even serverless architectures. We also talk about some of the cloud middleware technologies that are fundamental to cloud based applications such as RPC and REST, JSON and load balancing. Week three also covers metal as a service (MaaS), where physical machines are provisioned in a cloud environment. Week four introduces higher level cloud services with special focus on cloud storage services. We introduce Hive, HDFS and Ceph as pure Big Data Storage and file systems, and move on to cloud object storage systems, virtual hard drives and virtual archival storage options. As discussion on Dropbox cloud solution wraps up week 4 and the course.

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

Display problem-solving abilities in response to specific workplace situations and challenges. Speak publicly and present ideas and messages to audiences for goals of persuasion, information or entertainment. Develop positive self-talk and mindfulness habits to exercise a more productive, thriving outlook. Decide between various alternatives, determining which is most appropriate given your situation.

Counting is one of the basic mathematically related tasks we encounter on a day to day basis. The main question here is the following. If we need to count something, can we do anything better than just counting all objects one by one? Do we need to create a list of all phone numbers to ensure that there are enough phone numbers for everyone? Is there a way to tell that our algorithm will run in a reasonable time before implementing and actually running it? All these questions are addressed by a mathematical field called Combinatorics. In this online course we discuss most standard combinatorial settings that can help to answer questions of this type. We will especially concentrate on developing the ability to distinguish these settings in real life and algorithmic problems. This will help the learner to actually implement new knowledge. Apart from that we will discuss recursive technique for counting that is important for algorithmic implementations. One of the main ‘consumers’ of Combinatorics is Probability Theory. This area is connected with numerous sides of life, on one hand being an important concept in everyday life and on the other hand being an indispensable tool in such modern and important fields as Statistics and Machine Learning. In this course we will concentrate on providing the working knowledge of basics of probability and a good intuition in this area. The practice shows that such an intuition is not easy to develop. In the end of the course we will create a program that successfully plays a tricky and very counterintuitive dice game. As prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in IT, starting from motivated high school students.

By the end of the specialization, you will be able to: Communicate your best self with interpersonal communications. Communicate with groups and teams to increase cohesion and effectiveness. Speak publicly and present ideas and messages to audiences for goals of persuasion, information or entertainment. Lead others by influencing their performance and understanding through effective communication skills.

This Specialization is aimed at preparing students for undergraduate study in an English-speaking university. The course equips you for full participation and engagement with your studies by building awareness and understanding of the core values and expectations of academic culture, and providing you with practical strategies to apply to your studies. In this course, you will learn how to develop your Communication Skills to help you achieve success in your university studies. After completing this course, you will be able to: 1. Recognise the importance of communication in communities of practice at university 2. Understand contexts of communication at university and associated expectations 3. Communicate clearly across a variety of different contexts and to a wide range of audiences by adapting communicative styles appropriately 4. Demonstrate, negotiate, and further understanding through spoken, written, visual, and conversational modes 5. Effectively formulate arguments and communicate research findings through the process of researching, composing, and editing 6. Confidently engage in constructive and critical dialogue with respect and professionalism

Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different. In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins. In the second half of the course, we will "zoom out" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution. Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are "fragile" and more susceptible to be broken as part of genome rearrangements? We will see how combinatorial algorithms will help us answer this question. Finally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST.

In this six-module course, you will learn how businesses and organizations behave in situations in which strategic decisions are interdependent, i.e. where my actions affect my competitors' profits and vice versa. Using the basic tools of game theory, we will analyse how businesses choose strategies to attain competitive advantage. This course is also available in Chinese. Please go to our course catalog to access the Chinese version of Competitive Strategy.

Cameras are an integral component in many new technologies. Autonomous systems use cameras to navigate their environment, while doctors use small cameras to help guide minimally invasive surgical techniques. It is essential that engineers use computer vision techniques to extract information from these types of images and videos. In this specialization, you’ll gain the computer vision skills underpinning many of today’s top jobs. Specifically, you’ll: Perform object detection Train image classification models Use features to track objects and align images Detect motion in video Implement multi-object tracking You will use MATLAB throughout this specialization. MATLAB is the go-to choice for millions of people working in engineering and science and provides the capabilities you need to accomplish your computer vision tasks. You will be provided free access to MATLAB for the duration of the specialization to complete your work. To be successful in this specialization, it will help to have some prior image processing experience. If you are new to image data, it’s recommended to first complete the Image Processing for Engineering and Science specialization.

By the end of the specialization, you will be able to: Assess conflict types and identify the needs and responses of all conflicting parties. Identify when conflicts arise and manage them in multiple settings. Respond to conflict appropriately and brainstorm for solutions you can follow through on. Prepare for negotiations by finding alternatives and making offers to reach the best solution for all involved.

This course focuses on learning how to develop and manage a schedule. The first module provides an overview of the Construction Scheduling course. The second module introduces bar or Gantt charts and how they are used as scheduling tools. During the third module, learners will create activity precedence diagrams, also referred to as activity on node diagrams, which graphically represent the construction activities in a project and their relationships. The fourth module provides an overview of the types of construction activity relationships encountered in a construction project and how to represent them in an activity precedence diagram. Forward and backward pass calculations are covered in the fifth module, and during the sixth module, Professor Odeh discusses the importance of critical paths, including what it is and why it is important. By the end of this course, you will be able to: -Discover key project scheduling techniques and procedures -Learn how to develop and manage a schedule, and understand scheduling tools such as bar charts, activity on arrow, and activity on nodes -Explore the multiple relationships that connect all the construction activities in our project from start to finish -Learn about creating a network diagram, defining the importance of the critical path in a project network, and defining project activities float -Understand the fundamentals of bar charts, precedence diagrams, activity on arrow, Program -Evaluation and Review Technique (PERT), range estimating, linear project operations, and the line of balance (LOB)

This class deals with the business law topics that appear on the CPA exam: Agency, Contracts, Debtor-Creditor Relationships, Government Regulation of Business, and Business Organizations. Students will gain an understanding of how these areas of the law affect businesses and their operations, with an eye on preparation for the business law portions of the REG section of the CPA exam. By the end of the class, students will be able to identify the legal principles that govern various business situations and apply those principles to an issue to determine the outcome when the law is applied to the facts of a scenario.

How much should you charge for your products and services? Traditionally, businesses have answered this question based on the cost to produce or provide their goods and services. This course shows you the economic factors behind pricing based on cost and the pros and cons of a cost-based pricing approach. Developed at the Darden School of Business at the University of Virginia, and led by top-ranked Darden faculty and Boston Consulting Group global pricing experts, the course provides the practical and research-based models and methods you need to set prices that maximize your profits. By the end of this course, you’ll be able to: --Apply knowledge of basic economics to make better pricing decisions --Recognize opportunities for price discrimination—selling the same product at different prices to different buyers—and recommend strategies to maximize sales and profits --Calculate three types of price elasticities to determine the impact of price on demand --Analyze and apply different pricing models -Cost-plus pricing -Marginal cost-plus pricing -Peak-load pricing -Index-based pricing --Evaluate the impact of channel intermediaries and customer lifetime value on pricing