Learn Data Science
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10 weeks, online
6-8 hours per week*
*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.
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.
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.
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:
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:
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."
"I enjoyed the combination of videos, hands-on exercises and Jupyter Notebook exercises in the program."
“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.”
"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."
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...
More info
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...
More info
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.
Preview Course for FreeNote: 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
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.
LEARN MOREFlexible payment options available. Click here to know more.
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
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 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.