Data Science Principles
Develop a Data Mindset
Data Science Principles is a Harvard Online course in collaboration with Harvard Business School Online that gives you an overview of data science with a code- and math-free introduction to prediction, causality, data wrangling, privacy, and ethics.
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What You'll Learn
The course will be delivered via HBS Online’s course platform and immerse learners in real-world examples from experts at industry-leading organizations. By the end of the course, participants will be able to:Understand the modern data science landscape and technical terminology for a data-driven world
- Recognize major concepts and tools in the field of data science and determine where they can be appropriately applied
- Appreciate the importance of curating, organizing, and wrangling data
- Explain uncertainty, causality, and data quality—and the ways they relate to each other
- Predict the consequences of data use and misuse and know when more data may be needed or when to change approaches
Who Will Benefit
Students and Recent Graduates
Prepare for your career by building a foundation of the essential concepts, vocabulary, skills, and intuition necessary for business.
Early- and Mid-Career Professionals
Recognize how data is changing industries and think critically about how to develop a data-driven mindset to prepare you for your next opportunity.
Marketing & Project Management Professionals
Learn how data science techniques can be essential to your industry and how to contribute to cross-functional, data-oriented discussions.
Meet Your Instructor
Syllabus
Data Science Principles makes the fundamental topics in data science approachable and relevant by using real-world examples and prompts learners to think critically about applying these new understandings to their own workplace. Get an overview of data science with a code- and math-free introduction to prediction, causality, data wrangling, privacy, and ethics.
Learning requirements: In order to earn a Certificate of Completion from Harvard Online and Harvard Business School Online, participants must thoughtfully complete all 7 modules, including associated quizzes, by stated deadlines.
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Modules | Case Studies | Takeaways | Key Exercises |
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Module 1: Data 101 |
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Module 2: Predictions and Recommendations |
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Module 3: Cause and Effect |
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Module 4: Data Governance and Privacy |
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Module 5: Beyond the Spreadsheet |
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Module 6: Data Science Ecosystems |
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Module 7: The Road Ahead |
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