Business Analytics for Leaders - From Data to Decisions

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Course Dates

STARTS ON

November 3, 2021

Course Duration

DURATION

2 months, online
4–6 hours per week

Course Duration

Enrolling in this program is the first step in your journey to alumni benefits.
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Data Is Driving the Future of Business

Today’s business leaders know that analytics is critical to tomorrow’s success. Many have already discovered how data-driven decisions enable stronger business cases and greater agility, while others are behind the curve.

Across every sector, business professionals—including those with no coding or advanced analytics experience—are recognizing the need to develop their data fluency and understand how key technologies such as AI intersect with data analytics. In this program, with the help of hands-on activities, live sessions as well as real-world case studies you will discover how data-driven decisions enable stronger business cases and greater agility.

23x

Data-driven organizations are now 23x more likely to acquire customers, 6x as likely to retain customers and 19x more likely to be profitable.

SOURCE: FORBES

94%

94% of enterprises say data and analytics are important to their business growth and digital transformation

Source: Gartner

Who Is This Program For?

Businesses are using analytics to increase efficiency, improve customer service, and identify risks and opportunities across all sectors. This program is designed for business professionals who recognize this growing trend and want to use data and analytics techniques to guide strategy at the top levels of their organizations. (No previous coding or advanced analytics experience is necessary.) Business Analytics for Leaders: From Data to Decisions program could be particularly beneficial for those in the following roles:

Mid- to Senior-level Managers who want to drive innovation at their organizations by leveraging data-based decision-making models. Representative roles include:

  • Project Manager
  • Sales Manager
  • Finance Manager
  • Operations Manager
  • Product Manager
  • Marketing Manager
  • Director of Product Marketing
  • Director of Engineering
  • Director Strategic Products and Services
  • Investment Directors
  • Executive Directors

Senior Executives and Business Heads who want to better understand the business opportunities that analytics enable, as well as regulations related to data protection and privacy implications. Representative roles include:

  • Chief Strategy Officer
  • Chief Executive Officer
  • Chief Operating Officer
  • Managing Director
  • Chief Technology Office
  • Chief Information Officer
  • Founder
  • Partner
  • Chief Marketing Officer

Consultants who want to provide client solutions based on the latest data and technology. Representative roles include:

  • Digital Transformation Consultant
  • Principal Consultant
  • Financial Consultant
  • Management Consultant

Data Analytics and Technology Professionals who want to lay out the roadmap for analytics and AI initiatives for their organization, with an objective of solving key business problems. Representative roles include:

  • Data Analytics Manager
  • Information and Data Systems Manager
  • Technology Innovation Designer
  • Data Strategist
  • Business Intelligence Manager
  • Analytics Project Lead
  • Technology Lead

Key Takeaways

This program will position you to:

  • Gain competitive advantages by capturing data-enabled business opportunities
  • Create data-based decision-making models across your organization
  • Leverage data and experimentation to drive innovation
  • Better evaluate business analytics approaches and strategies
  • Develop a virtuous cycle built on user engagement, data collection, algorithm design, prediction, and improvement
  • Drive business decisions through practical application of an AI-centric operating model

Program Topics

Over the course of two months, you will incrementally build your analytics acumen to better equip you for a rapidly evolving, data-centric world.

Module 1:

Introduction to Business Analytics and AI

From the beginning, this program grounds your understanding of business analytics in the real world by citing actual business cases, not just theoretical applications. In this module we introduce the AI-centric operating model, and how to leverage its four components to achieve scale, scope, and innovation.

Module 2:

Descriptive Analytics: Accessing, Transforming, and Visualizing Data

This module is all about data: how to access it, process it, transform it, and make it AI-ready. We will also introduce the concept of data visualization and learn some of the best practices for accomplishing it.

Module 3:

Predictive Analytics: Supervised Learning for Business (Part 1)

In this module you will learn how to exploit patterns in historical data to forecast future events using predictive analytics, a key tool for identifying risks and opportunities. We will also examine the scope of supervised learning in business using several examples.

Module 4:

Predictive Analytics: Supervised Learning for Business (Part 2)

Continuing our discussion of supervised learning and predictive analytics, in this module we introduce state-of-the-art AI techniques to enable data-driven decision-making.

Module 5:

Descriptive Analytics: Unsupervised Learning for Business

In this module we switch to unsupervised learning, which can help you group and cluster data more effectively. The wide range of business applications includes everything from customer segmentation to detecting fraudulent transactions.

Module 6:

Prescriptive Analytics: Reinforcement Learning for Business

Here we explore the ways that AI-centric businesses use reinforcement learning for recommender systems, web advertising, stock trading, healthcare, and many other applications. The computer performs a succession of trial-and-error interactions within a dynamic environment to try to determine which approach is best.

Module 7:

Prescriptive Analytics: Experimentation

In this module we learn how businesses develop experimentation platforms that enable them to run many tests at high velocity, which in turn allows them to learn, adapt, innovate, and make sound business decisions even in times of uncertainty.

Module 8:

The Future of Big Data and AI

We will first discuss some concerns associated with the use of machine learning in prescriptive analytics, and how this might affect our business strategies moving forward. We will then discuss data protection and privacy, which will continue to be an important consideration in the world of Big Data. We will not only present some best practices associated with data protection, but also outline steps for developing a more general data strategy.

Module 1:

Introduction to Business Analytics and AI

From the beginning, this program grounds your understanding of business analytics in the real world by citing actual business cases, not just theoretical applications. In this module we introduce the AI-centric operating model, and how to leverage its four components to achieve scale, scope, and innovation.

Module 5:

Descriptive Analytics: Unsupervised Learning for Business

In this module we switch to unsupervised learning, which can help you group and cluster data more effectively. The wide range of business applications includes everything from customer segmentation to detecting fraudulent transactions.

Module 2:

Descriptive Analytics: Accessing, Transforming, and Visualizing Data

This module is all about data: how to access it, process it, transform it, and make it AI-ready. We will also introduce the concept of data visualization and learn some of the best practices for accomplishing it.

Module 6:

Prescriptive Analytics: Reinforcement Learning for Business

Here we explore the ways that AI-centric businesses use reinforcement learning for recommender systems, web advertising, stock trading, healthcare, and many other applications. The computer performs a succession of trial-and-error interactions within a dynamic environment to try to determine which approach is best.

Module 3:

Predictive Analytics: Supervised Learning for Business (Part 1)

In this module you will learn how to exploit patterns in historical data to forecast future events using predictive analytics, a key tool for identifying risks and opportunities. We will also examine the scope of supervised learning in business using several examples.

Module 7:

Prescriptive Analytics: Experimentation

In this module we learn how businesses develop experimentation platforms that enable them to run many tests at high velocity, which in turn allows them to learn, adapt, innovate, and make sound business decisions even in times of uncertainty.

Module 4:

Predictive Analytics: Supervised Learning for Business (Part 2)

Continuing our discussion of supervised learning and predictive analytics, in this module we introduce state-of-the-art AI techniques to enable data-driven decision-making.

Module 8:

The Future of Big Data and AI

We will first discuss some concerns associated with the use of machine learning in prescriptive analytics, and how this might affect our business strategies moving forward. We will then discuss data protection and privacy, which will continue to be an important consideration in the world of Big Data. We will not only present some best practices associated with data protection, but also outline steps for developing a more general data strategy.

Capstone Project - The two-month Business Analytics for Leaders: From Data to Decisions program culminates with a capstone project in which you solve a real-world business problem using an AI-centric operating model.

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Case Studies

To get a clearer understanding of how business analytics actually works in the real world, you will examine several case studies involving these prominent companies:

Logo of  LendingClub

LendingClub

Explore how LendingClub used supervised learning (or predictive analytics) to predict whether borrowers will repay or default on their loans.

Logo of eBay

eBay

Discover how eBay used prescriptive analytics and experimentation to make strategic decisions for feature implementation.

Logo of Osaro

Osaro

Explore how Osaro leveraged deep reinforcement learning to enable automation and transform the warehouse market.

Logo of Ant Group

Ant Group

Learn how Ant Group built an AI-centric operating model based on analytic approaches to achieve scale, scope, and innovation.

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.

Program Faculty

Faculty Member Frederico Finan

Frederico Finan

Professor, UC Berkeley’s Department of Economics and Haas School of Business

An expert in applied microeconomics, Prof. Finan teaches graduate courses in data analytics in Haas’ Executive MBA Programs. His research uses data analytics to explore the interactions between economic and political forces in developing countries... More info

Faculty Member Demian Pouzo

Demian Pouzo

Associate Professor, Department of Economics, UC Berkeley

A member of UC Berkeley’s faculty since 2009, Prof. Pouzo teaches graduate courses in data analytics in Haas’ Executive Education Programs. In addition to exploring how individuals make decisions under uncertainty, his research focuses on developing tools for machine... More info

Testimonials

"The concrete examples provided excellent context to concepts that I've previously understood, but have struggled to find the best ways to focus on, and the best methods in which I can apply them."

— Craig Price, Senior Software Test Engineer, The Pokémon Company International

"I liked the hands on work and the option to go deeper with the material if you choose. The variety between practice, discussion, live elements, and lectures kept it interesting."

— Emily Royalty, Financial Specialist, The Boeing Company

"The breadth of content is of great value. I also appreciate the professors' ability to simplify content. A mix of videos, zoom meetings and reading material made the program interesting. The program support team was fantastic and very supportive."

— Mandeep Bains, Manager, Continuous Improvement, City of Richmond

Path to Alumni Benefits

Enrolling in the Business Analytics for Leaders program is your first step toward the Certificate of Business Excellence. You will have access to a private global network of more than 41,000 UC Berkeley alumni in more than 80 countries, along with exclusive benefits available only to UC Berkeley alumni:

Networking and events

  • Join local alumni chapters or clubs in your region
  • Participate in the annual Berkeley Haas Alumni Conference
  • Attend select Berkeley Haas and Berkeley Executive Education Networking events open to the COBE community

Berkeley resources

  • Activate an @haas.executivealumni.berkeley.edu email forwarding address
  • Enjoy a 30% discount on eligible programs after completion of your COBE program
  • Gain online access to the Long Business Library and other university databases

News and communication

  • A one year complimentary digital subscription to California Management Review
  • Berkeley Haas Alumni newsletter
  • Berkeley Haas Alumni Jobs e-Newsletter featuring job postings from distinguished employers
  • Haas Insights offering the latest research and thought leadership from industry speakers and faculty

Note: All benefits subject to change.

Certificate

Example image of certificate that will be awarded after successful completion of this program

Certificate

Get recognized! Upon successful completion of the program, UC Berkeley Executive Education grants a verified digital certificate of completion to participants. Participants must complete 80 percent of the required activities including a capstone project (if any) to obtain the certificate of completion. This program also counts toward a Certificate of Business Excellence.

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Note: This program results in a digital certificate of completion and is not eligible for degree credit/CEUs. 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.

Example image of UC Berkeley Certificate of Business Excellence

This program counts toward a Certificate of Business Excellence

Curriculum Days: Two days

Pillar(s): Entrepreneurship & Innovation / 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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