Business Analytics Specialization

Make Data-Driven Business Decisions. Achieve fluency in business data strategies in four discipline-specific courses.

About This Specialization

This Specialization provides an introduction to big data analytics for all business professionals, including those with no prior analytics experience. You’ll learn how data analysts describe, predict, and inform business decisions in the specific areas of marketing, human resources, finance, and operations, and you’ll develop basic data literacy and an analytic mindset that will help you make strategic decisions based on data. In the final Capstone Project, you’ll apply your skills to interpret a real-world data set and make appropriate business strategy recommendations.

Created by:

5 courses

Follow the suggested order or choose your own.

Projects

Designed to help you practice and apply the skills you learn.

Certificates

Highlight your new skills on your resume or LinkedIn.

Courses

Beginner Specialization.: No prior experience required.

COURSE 1
Customer Analytics
Commitment
4 weeks of study, 5-6 hours/week
Subtitles
English, Spanish, Chinese (Simplified)
About the Course
Data about our browsing and buying patterns are everywhere. From credit card transactions and online shopping carts, to customer loyalty programs and user-generated ratings/reviews, there is a staggering amount of data that can be used to desc
You can choose to take this course only. Learn more.
COURSE 2
Operations Analytics
Commitment
4 weeks of study, 2-3 hours/week
Subtitles
English, Chinese (Simplified)
About the Course
This course is designed to impact the way you think about transforming data into better decisions. Recent extraordinary improvements in data-collecting technologies have changed the way firms make informed and effective business decisions. The c
You can choose to take this course only. Learn more.
COURSE 3
People Analytics
Commitment
4 weeks of study, 1-2 hours/week
Subtitles
English, Chinese (Simplified)
About the Course
People analytics is a data-driven approach to managing people at work. For the first time in history, business leaders can make decisions about their people based on deep analysis of data rather than the traditional methods of personal relationships,
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COURSE 4
Accounting Analytics
Commitment
4 weeks, 3 -5 hours per week
Subtitles
English, Mongolian
About the Course
Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, taught by Wharton’s acclaimed accounting professors, you’ll learn how data is used to assess what drives f
You can choose to take this course only. Learn more.
COURSE 5
Business Analytics Capstone
Upcoming session: Jan 21
Commitment
4 weeks of study, 4-5 hours/week
Subtitles
English
About the Capstone Project
The Business Analytics Capstone Project gives you the opportunity to apply what you've learned about how to make data-driven decisions to a real business challenge faced by global technology companies like Yahoo, Google, and Facebook. At the end
You can choose to take this course only. Learn more.

Creators

The Wharton School of the University of Pennsylvania is recognized globally for intellectual leadership and ongoing innovation across every major discipline of business education.
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.

Noah Gans
Anheuser-Busch Professor of Management Science, Professor of Operations, Information and Decisions
Sergei Savin
Associate Professor of Operations, Information and Decisions
Senthil Veeraraghavan
Associate Professor of Operations, Information and Decisions
Ron Berman
Assistant Professor of Marketing
Eric Bradlow
Professor of Marketing, Statistics, and Education, Chairperson, Wharton Marketing Department, Vice Dean and Director, Wharton Doctoral Program, Co-Director, Wharton Customer Analytics Initiative
Martine Haas
Associate Professor of Management
Wharton Teaching Staff
Educators
Christopher D. Ittner
EY Professor of Accounting
Brian J Bushee
The Geoffrey T. Boisi Professor
Cade Massey
Practice Professor
Raghu Iyengar
Associate Professor of Marketing
Matthew Bidwell
Associate Professor of Management
Peter Fader
Professor of Marketing and Co-Director of the Wharton Customer Analytics Initiative