Starts on

Starts on

December 6, 2018

Note: Application deadline extended till
December 13, 2018.
Duration

Duration

3 months, online
6–8 hours per week

Program Fees

program fees

$2,450

info 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

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

Your Learning Experience

Your Learning Experience
Live Teaching Sessions by Wharton Faculty

4 Live Teaching Sessions by Wharton Faculty

Data Analytics Simulation

1 Data Analytics Simulation

  • Orientation Module: Orientation and Introduction to Business Analytics
  • Module 1: Descriptive Analytics: Gathering Insights
  • Module 2: Descriptive Analytics: Describing and Forecasting Future Events
  • Module 3: Predictive Analytics: Making Predictions Using Data
  • Module 4: Predictive and Prescriptive Analytics: Application and Toolkit
  • Module 5: Predictive Analytics: Tools for Decision Making
  • Module 6: Predictive Analytics: Using Data to Predict Employee Performance
  • Module 7: Prescriptive Analytics: Providing Recommendations to Change Behavior
  • Module 8: Prescriptive Analytics: Determining the Most Favorable Outcomes
  • 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

Industry Examples

Program Faculty

Christopher D. Ittner
Christopher D. Ittner

Faculty Director

EY Professor of Accounting; Chairperson, Accounting Department

Peter Fader
Peter Fader

Frances and Pei-Yuan Chia Professor; Professor of Marketing

Raghuram Iyengar
Raghuram Iyengar

Associate Professor of Marketing and Faculty Co-director, Wharton Customer Analytics Initiative

Senthil Veeraraghavan
Senthil Veeraraghavan

Professor of Operations, Information and Decisions

Sergei Savin
Sergei Savin

Associate Professor of Operations, Information and Decisions

Ron Berman
Ron Berman

Assistant Professor of Marketing

Noah Gans
Noah Gans

Anheuser-Busch Professor of Management Science

Eric Bradlow
Eric Bradlow

The K.P. Chao Professor; Professor of Marketing, Economics, Education, and Statistics

Matthew Bidwell
Matthew Bidwell

Associate Professor of Management

Certificate

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

Business Analytics: from Data to Insights Certificate

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