Data Science: Bridging Principles and Practice
About the Program
Fear of disruption. It's a common feeling across today's business landscape: fear that a more agile company will swoop in with a pure-play digital business model, leveraging data in ways that compel competitive advantage.
Big data is facilitated by technology, but it’s optimized by people, culture, and processes. Investment in big data and related technologies is at an all-time high, yet according to research by New Vantage Partners, less than half of the companies say they are competing on data and analytics (48 percent); only 31 percent have created a data-driven organization, and only 28 percent have forged a data culture. The challenge in realizing the potential of big data lies not in the technology itself, but rather in transforming people, culture, and processes.
Berkeley’s Data Science: Bridging Principles and Practice gives participants with non-technical backgrounds a foundational understanding of what data science and analytics is all about, and many of the most common techniques used to manipulate and analyze data yourself. At the end of this program, you should be able not only to work effectively with data science and analytics teams by speaking their language, but also help guide them to deliver business value to you and the entire organization.
The Data Science: Bridging Principles and Practice program curriculum covers the following topics:
Module 1 |Probabilistic Decision Making
Module 2 |Creating Sample Data
Module 3 |Testing Hypothesis
Module 4 |Extrapolating Information from Sample Data
Module 5 |Basic Regression Models
Module 6 |Advanced Regression Models
Module 7 |Forecasting Machine Learning
Module 8 |Building Effective Data Science Teams
Download the program topics
Who It's For
This program is for individual contributors and mid-level to senior managers from either the private or public sectors seeking a truly rigorous, hands-on experience with modern data analysis methods.
Representative roles and industries that can benefit include:
- Managers who manage or will manage data science teams or vendors
- Performance marketing professionals
- Product Engineers, Product Managers, and R&D Managers
- Business/technology strategists and consultants
- Human Resources professionals
- Technology-driven industries where data analysis is critical including retail, information technology, e-commerce, financial services, fintech, manufacturing and healthcare
- World-renowned Berkeley Haas and Executive Education Faculty
- Live weekly 'prep sessions' to introduce any technical concepts for the next module
- Video lectures from Berkeley Haas faculty
- Live, interactive webinars (also available as recordings)
- Peer discussions and exercises
- Case Studies
- Weekly office hours and live assignment reviews
- Two week-long learning labs to focus on hands-on assignments and dig deeper into the data
- Exclusive online network-building opportunities
- Access to the program alumni community
- Data Science: Bridging Principles and Practice Certificate of Completion
A UC Berkeley Certificate of Business Excellence gives individuals the opportunity to create a personal plan of study structured by our four academic pillars. Participants will earn a mark of distinction with certification from a world-class university, and enjoy the flexibility of completing the program in up to three years.