Overview

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.

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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  • Starts on

    Coming Soon

  • Duration

    10 Weeks, Online

    (6-8 hours per week)
  • Course Fees

    US$ 2,850*

Program Video

Curriculum & Faculty

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

Learning Journey

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 Services

Fintech/Financial Services

Healthcare

Healthcare

Information Technology

Information Technology

Manufacturing

Manufacturing

Retail

Retail

Note: All product and company names are trademarks™ or registered® trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.

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

Amazon

eBay

eBay

Gallup

Gallup

StubHub

StubHub

Uber

Uber

Faculty

Steve Tadelis
Steve Tadelis

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

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.

Shachar Kariv
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.

Learning Experience

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.

Certificate Click to view certificate

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.

Certificate of Business Excellence logo

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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Participant Profile

Industry

Industry

Others* – includes Advertising, Ecommerce, Education, Electronics / Hardware, Energy, Fast Moving cosumer Goods, industrial Goods, Media, Real Estate, Retail, Telecommunications and more.

Work Experience

Work Experience

Participant Speak

Saloni Sonawala

Application Scientist
Data Science: Bridging Principles and Practice

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.

Bita Luliano

Talent Management Analyst
Data Science: Bridging Principles and Practice

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

Michael Wolff

Executive Director, Digital Platforms & Products
Data Science: Bridging Principles and Practice

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