Course 1 : Introduction to Marketing
Taught by three of Wharton’s top faculty in the marketing department, consistently ranked as the #1 marketing department in the world, this course covers three core topics in customer loyalty: branding, customer centricity, and practical, go-to-market strategies. You’ll learn key principles in – Branding: brand equity is one of the key elements of keeping customers in a dynamic world in which new startups are emerging constantly. – Customer centricity: not synonymous with customer service, customer centricity starts with customer focus and need-gathering. – Go-to-market strategies: understand the drivers that influence customers and see how these are implemented prior to making an investment. Complete this course as part of Wharton’s Business Foundations Specialization, and you’ll have the opportunity to take the Capstone Project and prepare a strategic analysis and proposed solution to a real business challenge from Wharton-governed companies like Shazam and SnapDeal or to a challenge faced by your own company or organization. Wharton-trained staff will evaluate the top submissions, and leadership teams at Shazam and SnapDeal will review the highest scoring projects prepared for their companies.
C 2 : Introduction to Financial Accounting
Master the technical skills needed to analyze financial statements and disclosures for use in financial analysis, and learn how accounting standards and managerial incentives affect the financial reporting process. By the end of this course, you’ll be able to read the three most common financial statements: the income statement, balance sheet, and statement of cash flows. Then you can apply these skills to a real-world business challenge as part of the Wharton Business Foundations Specialization.
Course 3 : Managing Social and Human Capital
People are the most valuable asset of any business, but they are also the most unpredictable, and the most difficult asset to manage. And although managing people well is critical to the health of any organization, most managers don’t get the training they need to make good management decisions. Now, award-winning authors and renowned management Professors Mike Useem and Peter Cappelli of the Wharton School have designed this course to introduce you to the key elements of managing people. Based on their popular course at Wharton, this course will teach you how to motivate individual performance and design reward systems, how to design jobs and organize work for high performance, how to make good and timely management decisions, and how to design and change your organization’s architecture. By the end of this course, you’ll have developed the skills you need to start motivating, organizing, and rewarding people in your organization so that you can thrive as a business and as a social organization.
Course 4 : Introduction to Corporate Finance
This course provides a brief introduction to the fundamentals of finance, emphasizing their application to a wide variety of real-world situations spanning personal finance, corporate decision-making, and financial intermediation. Key concepts and applications include the time value of money, risk-return tradeoff, cost of capital, interest rates, retirement savings, mortgage financing, auto leasing, capital budgeting, asset valuation, discounted cash flow (DCF) analysis, net present value, internal rate of return, hurdle rate, payback period.
Data science continues to evolve and grow, and whether a learner is looking to break into the field or brush up on skills, Coursera has courses for every level. Here is the list of the top 10 data science courses to help you find the right content for your goals.
Top 10 Data Science Courses
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- Python for Everybody from the University of Michigan
- Machine Learning from Stanford University
- Learn SQL Basics for Data Science from UC Davis
- Deep Learning from DeepLearning.AI
- DeepLearning.AI TensorFlow Developer Professional Certificate
- Natural Language Processing from DeepLearning.AI
- Data Visualization with Tableau from UC Davis
- Generative Adversarial Networks (GANs) from DeepLearning.AI
Andrew M. Heller Professor at the Wharton School, Senior Fellow Leonard Davis Institute for Health Economics Co-Director, Mack Institute of Innovation Management
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