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Business Analytics

Raghu Iyengar, Brian J Bushee, Christopher D. Ittner, Senthil Veeraraghavan, Sergei Savin, Noah Gans, Google Cloud Training, Cade Massey, Martine Haas, Matthew Bidwell, Peter Fader, Wharton Teaching Staff, Eric Bradlow, Ron Berman, and Hardeep Johar

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.

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What's inside

Five courses

Customer Analytics

(0 hours)

Data about our browsing and buying patterns are everywhere. This course provides an overview of key areas of customer analytics: descriptive analytics, predictive analytics, prescriptive analytics, and their application to real-world business practices.

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Operations Analytics

(0 hours)

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 course on operations analytics focuses on how the data can be used to profitably match supply with demand in various business settings.

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People Analytics

(0 hours)

People analytics is a data-driven approach to managing people at work. It uses deep analysis of data to make decisions about people, rather than relying on personal relationships, experience, or risk avoidance. This course explores the state-of-the-art techniques used to recruit and retain great people, and demonstrates how these techniques are used at cutting-edge companies.

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Accounting Analytics

(0 hours)

Accounting Analytics explores how financial statement data and non-financial metrics can be linked to financial performance. In this course, you’ll learn how data is used to assess what drives financial performance and to forecast future financial scenarios.

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Business Analytics Capstone

(0 hours)

The Business Analytics Capstone Project lets you apply your knowledge of data-driven decision-making to real business challenges. You'll learn to ask the right questions of data and use it effectively to address business challenges. You'll understand how cutting-edge businesses use data to optimize marketing, maximize revenue, make operations efficient, and make hiring and management decisions.

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Learning objectives

Explain how data is used for recruiting and performance evaluation
Model supply and demand for various business scenarios

Solve business problems with data-driven decision-making
Understand the tools used to predict customer behavior

Explain how data is used for recruiting and performance evaluation
Model supply and demand for various business scenarios
Solve business problems with data-driven decision-making
Understand the tools used to predict customer behavior

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Time

60 hours

Level

Introductory

Via

Coursera

Institution

University of Pennsylvania

Instructors

Raghu Iyengar

Brian J Bushee

Christopher D. Ittner

Senthil Veeraraghavan

Sergei Savin

Noah Gans

Google Cloud Training

Cade Massey

Martine Haas

Matthew Bidwell

Peter Fader

Wharton Teaching Staff

Eric Bradlow

Ron Berman

Hardeep Johar

Level

Introductory

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