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Data Science Principles
Be ready for a data-driven world
Get an overview of data science with a code- and math-free introduction to prediction, causality, data wrangling, privacy, and ethics.
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Digital only
Open
en
849 €
February 19 - March 19, 2025
May 28 - Juny 25, 2025
4 weeks
What you will learn
The Data Science Principles course is a code and math free introduction to key data science concepts with a focus on how a non-expert can successfully interface with experts in the field.
- Comprehend the modern data science landscape and terminology to navigate a data-driven world
- Recognize major concepts and tools in the field of data science and determine where they can be applied with impact
- Appreciate the importance of curating, organizing, and wrangling data
- Explain uncertainty, causality, and data quality—and the ways in which they relate to each other
- Understand the consequences of data use and misuse and know when more data may be needed or when to change approaches
Who will benefit
- Managers and executives who would like to get an introduction to Data Science
- Bertelsmann’s Top and Senior Management
- Leaders of business and/or organization
- Leaders of function
What you can expect
- Self-paced program with weekly deadlines delivered via the HBS Online course platform.
- The platform features short videos by HBS faculty and guest business experts, interactive exercises and an exchange platform which you will be using to interact and engage you with your cohort peers.
- Lessons are brought to life through real-world cases from a range of industry sectors.
- In order to earn a Certificate of Completion from Harvard Business School Online, participants must thoughtfully complete all 7 modules,
- including associated quizzes and peer engagement exercises within the given deadlines.
