The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events Specialist
Business growth through analytical decision-making
Download Brochure
April 27, 2023
2 months, online
4–6 hours per week
Our participants tell us that taking this program together with their colleagues helps to share common language and accelerate impact.
We hope you find the same. Special pricing is available for groups.
The benefit of learning together with your friend is that you keep each other accountable and have meaningful discussions about what you're learning.
Courtlyn
Promotion and Events SpecialistBased on the information you provided, your team is eligible for a special discount, for Business Analytics for Leaders: From Data to Decisions starting on April 27, 2023 .
We’ve sent you an email with enrollment next steps. If you’re ready to enroll now, click the button below.
Have questions? Email us at group-enrollments@emeritus.org.You have been invited to Business Analytics for Leaders : From Data to Decisions.
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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.
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Note: All benefits subject to change.
Enrolling in this program is the first step in your journey to alumni benefits.
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This program will position you to:
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.
Data-driven organizations are now 23x more likely to acquire customers, 6x as likely to retain customers and 19x more likely to be profitable.
94% of enterprises say data and analytics are important to their business growth and digital transformation
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:
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:
Consultants who want to provide client solutions based on the latest data and technology. Representative roles include:
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:
Over the course of two months, you will incrementally build your analytics acumen to better equip you for a rapidly evolving, data-centric world.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Download BrochureTo get a clearer understanding of how business analytics actually works in the real world, you will examine several case studies involving these prominent companies:
Explore how LendingClub used supervised learning (or predictive analytics) to predict whether borrowers will repay or default on their loans.
Discover how eBay used prescriptive analytics and experimentation to make strategic decisions for feature implementation.
Explore how Osaro leveraged deep reinforcement learning to enable automation and transform the warehouse market.
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.
Frederico Finan
Demian Pouzo
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. Typically, this involves working with large datasets and using A/B testing techniques to better incorporate data and empirical evidence into business and policy decision-making.
Prof. Finan has published more than 20 peer-reviewed papers, many in top academic journals such as American Economic Review and the Quarterly Journal of Economics. Other relevant credentials include: Faculty Director of Berkeley’s Center for Economics and Politics; Board Member and Fellow of the Bureau for Research and Economic Analysis of Development (BREAD); and Research Associate at the National Bureau of Economic Research. In 2013, Prof. Finan was awarded an Alfred P. Sloan Research Fellowship.
Prof. Finan has given more than 100 invited presentations on data analytics and other research topics, including recent presentations at the University of Chicago, Harvard University, Stanford University, Yale University, and the World Bank.
Prof. Finan received a PhD in Agricultural and Resource Economics from UC Berkeley in 2006. He was an Assistant Professor of Economics at the University of California, Los Angeles and a Visiting Professor at Stanford University’s Graduate School of Business before returning to UC Berkeley as a faculty member in 2009.
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 learning methods, with an emphasis on uncovering patterns that underlie the data.
Prof. Pouzo has published peer-reviewed papers in journals specializing in economics, finance, statistics, and applied mathematics. He is associate editor for the Journal of Econometrics Methods and Journal of Econometrics. Presentations at the University of Chicago, Harvard University, and MIT are among his more than 100 invited presentations on machine learning and other research topics.
Prof. Pouzo received a PhD in Economics from NYU in 2009, under the supervision of Ricardo Lagos, Xiaohong Chen and Tom Sargent (Nobel Prize in Economics 2011).
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.
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.
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.
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.
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 the ID mentioned above.
Note that, unless otherwise stated on the program web page, all programs are taught in English and proficiency in English is required.
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.
Check back to this program web page or email us to inquire if future program dates or the timeline for future offerings have been confirmed yet.
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.
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:
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 email us if you need further clarification on program activities.
More than 300,000 learners across 200 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.
All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner the cost of which is already included in the overall course fee of the course.
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.
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.
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 email us if you need further clarification on any specific program requirements.
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.
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.
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.
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.
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.
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.
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.
The program fee is noted at the top of this program web page and usually referenced in the program brochure as well.
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 for details.
Yes! Please email us with the details of the program you are interested in, and we will assist you.
Please email us your invoicing requirements and the specific program you’re interested in enrolling in.
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.
Please connect with us via email for assistance.
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.
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.
Flexible payment options available.