EXECUTIVE EDUCATION

Business Analytics: From Data to Insights

Join this program to learn in-depth tools and strategies

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Course Dates
STARTS ON

October 30, 2020

Course Duration

DURATION

3 months, online
6-8 hours per week

Course Duration

PROGRAM FEE

US$2,600

Course Information Flexible payment available

Why Study Business Analytics?

Wharton's three-month online program — Business Analytics: From Data to Insights — arms managers and leaders with the tools needed to break away from the pack. Take the opportunity to turn data into a competitive advantage.

2X

The amount of data doubles every three years as various digital sources continue to make information available

SOURCE: MCKINSEY & COMPANY

1.5 Million

1.5 Million

A significant shortage of managers and analysts who can effectively use analytical concepts to make decisions is predicted for 2018

SOURCE: MCKINSEY & COMPANY

75%

Three-quarters of companies are missing the skills and technology to make the best use of the data they collect

SOURCE: PWC
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Who Is This Program For?

This online program is ideal for managers and leaders who wish to learn how analytics can help improve their decision-making processes. Business Analytics: From Data to Insights will give participants an understanding of how to look at data and identify insights, improve their ability to make longterm predictions, and prescribe future actions to help make better business decisions. Participants come from a wide range of industries, job functions, and management levels.

This online program is ideal for managers and leaders who wish to learn how analytics can help improve their decision-making processes. Business Analytics: From Data to Insights will give participants an understanding of how to look at data and identify insights, improve their ability to make longterm predictions, and prescribe future actions to help make better business decisions. Participants come from a wide range of industries, job functions, and management levels.

Participants by Job Function Include:

  • Account Managers
  • CEOs
  • Executive Directors
  • Product Managers
  • Assistant Directors
  • Chief Marketing Officers
  • Financial Analysts
  • Portfolio Managers
  • Business Analysts
  • CIOs
  • Investment Directors
  • Vice Presidents

Participant Testimonials

Johnny Queck Testimonial

Johnny Queck, Regional Director – ASEAN, bioMérieux, Singapore

““The course provided a good overview of how analytics can be applied across various entities within an organisation such as supply chain, HR, manufacturing, etc.”

amien Smithr Testimonial

Damien Smith, Airport Retail Manager, Aer Rianta International, Ireland

“Learning the many analytical models will help me in my day–to–day work. This is a skill that I have been missing for years. I feel confident I can work smarter going forward.”

Pauline Francis Testimonial

Pauline Francis, Partner, B2B CFO, USA

“The teaching faculty was excellent and the pace of how they presented the material in each module was perfect. The combination of Wharton-quality instruction and Emeritus delivery was seamless.”

Neil Gomes Testimonial

Neil Gomes, Chief Digital Officer and Senior VP, Thomas Jefferson University, USA

“The videos and practical examples were the best part. The faculty were also world-class and explained concepts really well.”

Your Learning Experience

Enrollment Steps 1
Frameworks
Delivered via video lectures
Enrollment Steps 2
Real-World Examples

Delivered through a combination of video and live online lectures

Enrollment Steps 3
Applications To Data Sets

Learn through individual assignments and feedback

Enrollment Steps 4
Debrief of Learnings

Delivered through a combination of recorded and live video lectures

Digital Strategies for Business: Live Online Teaching Sessions

4 Live Teaching Sessions by Wharton Faculty

Digital Strategies for Business: Simulations

1 Data Analytics Simulation

  1. Orientation Module:

    Orientation and Introduction to Business Analytics
  2. Module 1:

    Descriptive Analytics: Gathering Insights
  3. Module 2:

    Descriptive Analytics: Describing and Forecasting Future Events
  4. Module 3:

    Predictive Analytics: Making Predictions Using Data
  5. Module 4:

    Predictive and Prescriptive Analytics: Application and Toolkit
  6. Module 5:

    Predictive Analytics: Tools for Decision Making
  1. Module 6:

    Predictive Analytics: Using Data to Predict Employee Performance
  2. Module 7:

    Prescriptive Analytics: Providing Recommendations to Change Behavior
  3. Module 8:

    Prescriptive Analytics: Determining the Most Favorable Outcomes
  4. Module 9:

    Application of Analytics for Business
Methods and Tools:

    Data Collection Methods

  • Descriptive Data Collection: Surveys, Net Promoter Score (NPS), and Self-Reports
  • Passive Data Collection
  • Media Data Collection: Radio, Television, Mobile, etc.
  • A/B Testing

    Correlation and Causation

    Forecasting

  • Objective and Subjective
  • Strand or Seasonal Variation
  • Exponential Smoothing
  • Descriptive Statistics
  • Trends and Seasonality
  • New Product

    Regression Analysis

    Simulation Toolkit

  • Analysis ToolPak
  • Solver Optimization Tool
  • Data Visualization and Interpretation

    Optimization Models

    Decision Trees

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Industry Examples

Columbia Digital Strategies for Business

Consumer Packaged Goods

How is Starbucks identifying which customers to give deals to in order to maximize return on investment (RoI)?

Columbia Digital Strategies for Business

Financial Services

How does American Express use social media data to predict whether you are going to give up your American Express card?

Columbia Digital Strategies for Business

Media

How is Netflix using metadata tagging to know what you watch and to create relevant content?

Columbia Digital Strategies for Business

Retail

Why were stores either selling out of Time magazine or only selling a small fraction of their inventory?

Columbia Digital Strategies for Business

Apparel

How has Kohl's been using analytics for smartphone targeting?

Columbia Digital Strategies for Business

Technology

How could Amazon potentially ship before you buy?

Program Faculty

Program Faculty

Christopher D. Ittner Faculty

Christopher D. Ittner

Faculty Director

EY Professor of Accounting; Chairperson, Accounting Department

Peter Fader Faculty

Peter Fader

Frances and Pei-Yuan Chia Professor; Professor of Marketing

Raghuram Iyengar Faculty

Raghuram Iyengar

Miers-Busch, W’1885 Professor, Professor of Marketing; Faculty Director, Wharton Customer Analytics (WCA)

Senthil Veeraraghavan Faculty

Senthil Veeraraghavan

Professor of Operations, Information and Decisions

Sergei Savin Faculty

Sergei Savin

Associate Professor of Operations, Information and Decisions

Ron Berman Faculty

Ron Berman

Assistant Professor of Marketing

Noah Gans Faculty

Noah Gans

Anheuser-Busch Professor of Management Science

Eric Bradlow Faculty

Eric Bradlow

The K. P. Chao Professor; Professor of Marketing; Vice Dean, Analytics at Wharton; Chairperson, Wharton Marketing Department; Professor of Economics; Professor of Education; Professor of Statistics, The Wharton School

Matthew Bidwell Faculty

Matthew Bidwell

Associate Professor of Management

Certificate

Wharton Business Analytics

Certificate

Earn a digital Wharton certificate upon successful
completion of the online program.

Earn a digital Wharton certificate upon successful completion of the online program.

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All certificate images are for illustrative purposes only and may be subject to change at the discretion of the Wharton School.

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