The flexible payment option allows a student to pay the program fee in installments. This option is made available in the application form and should be selected before making the payment.
The following payment options are available for Data Science: Bridging Principles and Practice:
Pay in Full
Pay the entire program fee of US$2,850 at once.
Pay in 2 installments
The first installment of US$1,512 would be due immediately.
The final installment of US$1,395 is to be paid by October 20, 2020.
Pay in 3 installments
The first installment of US$1,077 would be due immediately.
The second installment of US$958 is to be paid by October 20, 2020.
The final installment of US$958 is to be paid by November 9, 2020.
Special pricing for group enrollments
Special pricing up to 20% discount is available if you enroll with your colleagues. Please
send an email to
group-enrollments@emeritus.org
for more information.
Preview this program, free
Access to six of the first week’s video lectures
Program brochure sent to your email
No credit card required
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.
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.
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
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:
Amazon
Uber
Ebay
Gallup
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:
Fintech/Financial Svs.
Healthcare
Information Technology
Manufacturing
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.
"The Jupyter Notebook assignments and the weekly office hours were the best part of the program for me."
—Bita Luliano, Talent Management Analyst
"I enjoyed the combination of videos, hands-on exercises and Jupyter Notebook exercises in the program."
—Michael Wolff, Executive Director, Digital Platforms & Products
“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
"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
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
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
Certificate
Certificate
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.
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.
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.
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, working with technologists, machine learning scientists, and business leaders. He continues to advise Amazon part-time as an Amazon economist fellow.
Steve’s current areas of research are ecommerce, economics of organization, procurement contracting, theory of the firm and industrial organization, contract theory, and game theory.
Shachar Karivs
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 and non-financial decisions; these insights enable clients to make better decisions about how to design and market their products and services, and improve client acquisition, relationship, and retention.
His academic experience includes visiting professorship positions at Stanford University, Princeton University, University of Oxford, University of Cambridge, the European University Institute, and the Norwegian School of Economics, among others. Shachar is a co-founder chief scientist at Capital Preferences, a company revolutionizing enterprise investment advice, lending, insurance, and talent market solutions. The breakthrough “Economic Fingerprint” technology and methodology created by Capital Preferences aims to solve the biggest challenges facing the most dynamic industries and has been featured in The Investment Series, a popular TV show starring Australia’s top financial experts.
