Data Science (Online)

Add Data Science to your career tool kit

Learn Data Science

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Course Dates

September 30, 2020

Course Duration


10 weeks, online
6-8 hours per week

Course Duration



Course Information Flexible payment available

Note: Time required to complete the modules, assignments and attend live support sessions will vary depending on your technical abilities and background. This is an estimate of the average time required to complete the program successfully.

Who is This Program For?

This program is for individual contributors and mid-level to senior managers coming 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, ecommerce, financial services, fintech, manufacturing and healthcare.
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Preparing for Data Science Literacy

While there are no formal prerequisites such as coding knowledge, having an aptitude for quantitative concepts is important.

As pre-term work and in week 1, there will be a review of basic mathematical and statistical concepts such as mean, standard deviation, graphs, histograms, and linear and logarithmic functions. In addition, there will be a weekly 'prep session' to introduce key concepts from the next module that participants may want a refresher on. To gain true literacy in data science, be prepared to get dirty in the data and embrace some math and stats. We'll fully support you along the way.

Program Topics

  1. Module 1:

    Probabilistic Decision Making
  2. Module 2:

    Creating Sample Data
  3. Module 3:

    Testing Hypothesis
  4. Module 4:

    Extrapolating Information from Sample Data
  1. Module 5:

    Basic Regression Models
  2. Module 6:

    Advanced Regression Models
  3. Module 7:

    Forecasting Machine Learning
  4. Module 8:

    Building Effective Data Science Teams
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Your Learning Journey

During this ten-week online journey, you’ll connect directly with UC Berkeley Executive Education's faculty, industry leaders and peers from every corner of the globe. Taking a rigorous, hands-on approach, you’ll analyze data sets using Jupyter Notebook, an interactive open-source platform we will use for computational analysis. While the curriculum is pre-determined, this is an agile learning experience and there may be dynamic opportunities that present themselves based on real-world happenings.

  • Interviews with industry experts who are driven by data, from leading companies including Google, the Oakland A's, Uber and more.
  • Live weekly 'prep sessions' to introduce any technical concepts for next module, weekly office hours and live assignment reviews
  • Live webinars with UC Berkeley Executive Education faculty including Q&A
  • Two week-long learning labs to focus on hands-on assignments and dig deeper into the data
  • Application exercises using Python in Jupyter Notebook to visualize and analyze data (graded as complete or incomplete)
  • Moderated discussion boards
Berkeley Data ScienceBerkeley Data Science

Company and Industry Examples

Company Examples:

UC Berkeley Executive Education's faculty have strong relationships with industry, including many of the top tech firms in and around Silicon Valley. Content from the program is either inspired by or directly derived from research and applications from companies that include:

Company examples: Amazon


Company examples: Uber


Company examples: Ebay


Company examples: Gallup


Company examples: StubHub


Industry Examples:

We exist in the analytics economy, where every organization can benefit from improving its data literacy skills. Examples come from a broad range of industries, including:

Industry examples: Fintech/Financial Svs.

Fintech/Financial Svs.

Industry examples: Healthcare


Industry examples: Information Technology

Information Technology

Industry examples: Manufacturing


Industry examples: Retail


Note: All product and company names are trademarks or registered trademarks of their respective holders. The study of these products and/or companies does not imply any affiliation with or endorsement by them.

Participant Testimonials

Hear from some of our past participants who come from a wide array of companies and industries.

Bita Luliano Testimonial

"The Jupyter Notebook assignments and the weekly office hours were the best part of the program for me."

—Bita Luliano, Talent Management Analyst
Michael Wolff Testimonial

"I enjoyed the combination of videos, hands-on exercises and Jupyter Notebook exercises in the program."

—Michael Wolff, Executive Director, Digital Platforms & Products
Saloni Sonawala Testimonial

“This program gave me the required insight into the world of data science, the different languages, models, algorithms as well as the value and pros/cons of using these.”

—Saloni Sonawala, Application Scientist
Dmitry Karablinov Testimonial

"Working with Jupyter Notebook, having access to a good online platform with a focus on real life cases and learning facilitators added a lot of value in my learning journey throughout this program."

—Dmitry Karablinov, Business Development Manager

Program Faculty

Steve Tadelis Faculty

Steve Tadelis

James J. and Marianne B. Lowrey Chair in Business, Haas School of Business

Prior to starting his position at Berkeley Haas, Steve was an assistant professor at Stanford University for eight years. Steve also held positions as a senior director and distinguished economist at eBay Research Labs (2011–13) and vice president of economics and market design at Amazon (2016–17) where he applied economic research tools to a variety of product and business applications... More info

Shachar Kariv Faculty

Shachar Kariv

Benjamin N. Ward Professor of Economics, Haas School of Business

Shachar is the former department chair and faculty director of the Experimental Social Science Laboratory (Xlab). His research in behavioral and experimental economics provides novel tools for understanding individual preferences and attitudes towards risk and time, which inform nearly all aspects of decision making. The research has uncovered valuable new insights about individuals' financial... More info


Berkeley Data Science


Upon successful completion of the program, UC Berkeley Executive Education grants a verified digital certificate of completion to participants. This program is graded as a pass or fail; participants must receive 80 percent to pass and obtain the certificate of completion.

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Note: After successful completion of the program, your verified digital certificate will be emailed to you in the name you used when registering for the program. All certificate images are for illustrative purposes only and may be subject to change at the discretion of UC Berkeley Executive Education.

Berkeley Digital Transformation

This program counts toward a Certificate of Business Excellence

Curriculum Days: Two days

Pillar(s): Strategy & Management

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.

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