Business Analytics for Leaders : From Data to Decisions

Business growth through analytical decision-making

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Course Dates

STARTS ON

January 12, 2023

Course Duration

DURATION

2 months, online
4–6 hours per week

Course Fee

PROGRAM FEE

US$2,600 US$2,392 or get US$260 off with a referral

Course Information Flexible payment available
Course Fee

For Your Team

Enroll your team and learn with your peers

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Unlock Your Potential

Invest in yourself and realize your potential. Emeritus is partnering with UC Berkeley Executive Education to bring you an opportunity to unlock career growth. Enroll before , and get up to 8% early registration benefit to set yourself up for professional success.

Application Details

program fee

US$2,600 US$2,392

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Team-Based Learning Options

  • Enroll as a team or group and learn with your peers

  • Receive support and services

  • Inquire about special team/group pricing

  • ENROLL YOUR TEAM

    Emeritus works with leading companies to close critical skills gaps


    Our partners include

    JP Morgan
    Amazon
    AB in Bev

Path to Alumni Benefits

Enrolling in the Business Analytics for Leaders program can become your first step toward pursuing the 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 more about the program and associated alumni benefits here.

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
  • Public visitor access to select campus libraries and university database services

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.

Enrolling in this program is the first step in your journey to alumni benefits.
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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

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

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.

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

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% 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.

Successful completion of this program fulfills two curriculum days (minimum requirement of 17 curriculum days) towards the UC Berkeley Certificate of Business Excellence (COBE).
Learn more on how it works here.

Download Brochure

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.

Learn more

FAQs

  • How do I know if this program is right for me?

    After reviewing the information on the program landing page, we recommend you submit the short form above to gain access to the program brochure, which includes more in-depth information. If you still have questions on whether this program is a good fit for you, please email learner.success@emeritus.org, and a dedicated program advisor will follow-up with you very shortly.


    Are there any prerequisites for this program?

    Some programs do have prerequisites, particularly the more technical ones. This information will be noted on the program landing page, as well as in the program brochure. If you are uncertain about program prerequisites and your capabilities, please email us at learner.success@emeritus.org for assistance.


    Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.


    What is the typical class profile?

    More than 50 percent of our participants are from outside the United States. Class profiles vary from one cohort to the next, but, generally, our online certificates draw a highly diverse audience in terms of professional experience, industry, and geography — leading to a very rich peer learning and networking experience.


    What other dates will this program be offered in the future?

    Check back to this program web page or email us at learner.success@emeritus.org to inquire if future program dates or the timeline for future offerings have been confirmed yet.

  • How much time is required each week?

    Each program includes an estimated learner effort per week. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page.



    How will my time be spent?

    We have designed this program to fit into your current working life as efficiently as possible. Time will be spent among a variety of activities including:



    • Engaging with recorded video lectures from faculty
    • Attending webinars and office hours, as per the specific program schedule
    • Reading or engaging with examples of core topics
    • Completing knowledge checks/quizzes and required activities
    • Engaging in moderated discussion groups with your peers
    • Completing your final project, if required

    The program is designed to be highly interactive while also allowing time for self-reflection and to demonstrate an understanding of the core topics through various active learning exercises. Please contact us at learner.success@emeritus.org if you need further clarification on program activities.



    What is it like to learn online with the learning collaborator, Emeritus?

    More than 250,000 professionals globally, across 80 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded.

    A dedicated program support team is available 24/5 (Monday to Friday) to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.


    How do I interact with other program participants?

    Peer learning adds substantially to the overall learning experience and is an important part of the program. You can connect and communicate with other participants through our learning platform.

  • What are the requirements to earn the certificate?

    Each program includes an estimated learner effort per week, so you can gauge what will be required before you enroll. This is referenced at the top of the program landing page under the Duration section, as well as in the program brochure, which you can obtain by submitting the short form at the top of this web page. All programs are designed to fit into your working life.

    This program is scored as a pass or no-pass ; participants must complete the required activities to pass and obtain the certificate of completion. Some programs include a final project submission or other assignments to obtain passing status. This information will be noted in the program brochure. Please contact us at learner.success@emeritus.org if you need further clarification on any specific program requirements.


    What type of certificate will I receive?

    Upon successful completion of the program, you will receive a smart digital certificate. The smart digital certificate can be shared with friends, family, schools, or potential employers. You can use it on your cover letter, resume, and/or display it on your LinkedIn profile. The digital certificate will be sent approximately two weeks after the program, once grading is complete.


    Can I get the hard copy of the certificate?

    No, only verified digital certificates will be issued upon successful completion. This allows you to share your credentials on social platforms such as LinkedIn, Facebook, and Twitter.


    Do I receive alumni status after completing this program?

    No, there is no alumni status granted for this program. In some cases, there are credits that count toward a higher level of certification. This information will be clearly noted in the program brochure.


    How long will I have access to the learning materials?

    You will have access to the online learning platform and all the videos and program materials for 12 months following the program start date. Access to the learning platform is restricted to registered participants per the terms of agreement.

  • What equipment or technical requirements are there for this program?

    Participants will need the latest version of their preferred browser to access the learning platform. In addition, Microsoft Office and a PDF viewer are required to access documents, spreadsheets, presentations, PDF files, and transcripts.


    Do I need to be online to access the program content?

    Yes, the learning platform is accessed via the internet, and video content is not available for download. However, you can download files of video transcripts, assignment templates, readings, etc. For maximum flexibility, you can access program content from a desktop, laptop, tablet, or mobile device.

    Video lectures must be streamed via the internet, and any livestream webinars and office hours will require an internet connection. However, these sessions are always recorded, so you may view them later.

  • Can I still register if the registration deadline has passed?

    Yes, you can register up until seven days past the published start date of the program without missing any of the core program material or learnings.


    What is the program fee, and what forms of payment do you accept?

    The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.

    • Flexible payment options are available (see details below as well as at the top of this program web page next to FEE).
    • Tuition assistance is available for participants who qualify. Please email learner.success@emeritus.org.

    What if I don’t have a credit card? Is there another method of payment accepted?

    Yes, you can do the bank remittance in the program currency via wire transfer or debit card. Please contact your program advisor, or email us at learner.success@emeritus.org for details.


    I was not able to use the discount code provided. Can you help?

    Yes! Please email us at learner.success@emeritus.org with the details of the program you are interested in, and we will assist you.


    How can I obtain an invoice for payment?

    Please email learner.success@emeritus.org with your invoicing requirements and the specific program you’re interested in enrolling in.


    Is there an option to make flexible payments for this program?

    Yes, the flexible payment option allows a participant to pay the program fee in installments. This option is made available on the payment page and should be selected before submitting the payment.


    How can I obtain a W9 form?

    Please email us at learner.success@emeritus.org for assistance.

  • What is the policy on refunds and withdrawals?

    You may request a full refund within seven days of your payment or 14 days after the published start date of the program, whichever comes later. If your enrollment had previously been deferred, you will not be entitled to a refund. Partial (or pro-rated) refunds are not offered. All withdrawal and refund requests should be sent to admissions@emeritus.org.



    What is the policy on deferrals?

    After the published start date of the program, you have until the midpoint of the program to request to defer to a future cohort of the same program. A deferral request must be submitted along with a specified reason and explanation. Cohort changes may be made only once per enrollment and are subject to availability of other cohorts scheduled at our discretion. This will not be applicable for deferrals within the refund period, and the limit of one deferral per enrollment remains. All deferral requests should be sent to admissions@emeritus.org.

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Early registrations are encouraged. Seats fill up quickly!

Flexible payment options available. Learn more.