Data Strategy

for Business Leaders

May 15-17, 2017

Haas School of Business
University of California, Berkeley

It’s the Era of Big Data.  Data Scientist is the sexiest profession of the 21st century.  Everywhere you turn, we hear that we cannot compete without being on the cutting edge of analytics and that those people and executives and companies and organizations that are not fluent in the art of Big Data will be left behind.

Twofold Purpose

To teach you enough basic quantitative analytics so that you will be able to leverage data scientists and analytics experts to make your strategy better, more robust, more reliable, more profitable.  In order to be able to leverage these experts effectively, you need to speak the language of analytics: you’ll need to know how to ask your data science experts the right questions, how to give the analytics experts the information they need to do their best possible work, and most importantly, you’ll need to know how to tell if you’re being hoodwinked.  And in this course, you’ll acquire these skills.

To help you assess and modify a company’s data strategy as well as design new business models around data collection and analytics. The proliferation of massive amounts of data can disrupt traditional business models, and this course will help you to manage that disruption.

Program Details



  • Middle and senior managers who are looking to assess or design their company’s data strategy.
  • Aspiring entrepreneurs in data space.


The program fee is $3,750 and covers tuition, all course materials, and most meals. Travel and accommodations are not included. Bring your partners and get 10% off per participant from the same company.


  • Get 30% off if you register for Data Strategy Program + Data Driven Marketing program.
  • Berkeley-Haas alumni get 30% off using access code: IBI2017
  • Berkeley-Haas Executive MBA students get 30% off using access code: EMBA17


Gregory La Blanc

Lecturer in Finance, Strategy,
& Law Haas Finance Group
Haas Economic Analysis
& Policy Group. Director of
Data Science Initiative, IBI

Jeremy Stanley

VP Data Science

Amy Gershkoff

Chief Data Officer, Ancestry
Lecturer, Berkeley-Haas

Michael Housman

Chief Scientific Officer

John Elder

Founder, Elder Research, Inc.

Dean Abbott

Co-Founder & Chief Data Scientist at SmarterHQ

“Eyes Wide Open. Advances in data science represent greater change and opportunity to today’s businesses than the internet did in the 1990’s. This course arms business leaders and operators with what they need to know take advantage of this tremendous opportunity and thrive in our rapidly changing world.”

Christopher Labrecque
Country Manager, Ancestry

“The program gave me great insight and inspiration for how to leverage data in our business. High quality speakers with real-life examples and experiences combined with the inspiring insights and fundamental learnings provided by professor LeBlanc.”

Anders Aamand
Strategy Director, Telenor DK, Denmark

“I found this workshop extremely helpful learning how data science is helping businesses optimize their operations, introduce efficient techniques to engage and deliver improved services. It was well executed mix of interactive learning sessions on data science, hands-on on BigML, and guest speakers from various industries who validate the immediate need for business leaders to expertise in data strategy and data science.”

Sameer Sethi
Software Engineering Director, Oracle

“The program provided a full immersion into the big data analytics world, covering both the theoretical foundations and best practices told by highly regarded academics and professionals from companies that generate the innovations we would only hear or read about long after they were implemented”.

Tiago Melo, Softplan, Brazil


Coming Soon

Haas School of Business


Magdalena Hevia,

Program Manager

14 + 8 =

You might also be interested in:

Data Driven Marketing

for Business Leaders

May 18-19, 2017

Haas School of Business
University of California, Berkeley


Register for both courses & receive 30% off