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Business Analytics: From Data to Insights

Business Analytics Online Certificate Program

Wharton's three-month online certificate program — Business Analytics: From Data to Insights — provides managers and leaders an understanding of how analytics can help improve their decision-making process. This program will help you look at data and identify insights, improve your ability to make predictions for the long term, and prescribe future actions that help make better business decisions.

Program Format

3 months, online
6–8 hours per week

Program Tuition


Program Start Dates

July 19, 2018

To learn more, please contact:


Why Study Business Analytics?

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

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

High-Impact Online Learning



Delivered via video lectures

Real-World Examples

Real-World Examples

Delivered through a combination of video and live online lectures

Applications to Data Sets

Applications to Data Sets

Learn through individual assignments and feedback

Debrief of Learnings

Debrief of Learnings

Delivered through a combination of recorded and live video lectures

Program Experience

4 Live Teaching Sessions by Wharton Faculty  •  1 Data Analytics Simulation

Program Modules

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


  • 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


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

Business Analytics Online Certificate

(This online certificate program does not grant academic credit or a degree from the Wharton School of the University of Pennsylvania. The certificate image is for illustrative purposes only and may be subject to change.)

 Download Brochure

Industry Examples

Consumer Packaged Goods

Consumer Packaged Goods
How is Starbucks identifying which customers to give deals to in order to maximize return on investment (ROI)?

Financial Services

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


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


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


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


How could Amazon potentially ship before you buy?


  • Jagmohan Raju, PhD

    Joseph J. Aresty Professor; Executive Director, Wharton Co-Sponsorship of Indian School of Business; Professor of Marketing; Vice Dean, Wharton Executive Education

    Research Interests: Competitive strategy, pricing, retailingSee Faculty Bio

  • Ron Berman, PhD

    Assistant Professor of Marketing, The Wharton School

    Research Interests: Online marketing, entrepreneurship, marketing analytics, search engine marketing, game theory, industrial organizationSee Faculty Bio

  • Matthew Bidwell, PhD

    Associate Professor of Management, The Wharton School

    Research Interests: Human resource management, knowledge workers, worker mobilitySee Faculty Bio

  • Eric Bradlow, PhD

    The K.P. Chao Professor; Professor of Marketing; Faculty Director - Wharton Customer Analytics Initiative; Chairperson, Wharton Marketing Department; Professor of Economics; Professor of Education; Professor of Statistics

    Research Interests: Marketing research methods, missing-data problems, psychometricsSee Faculty Bio

  • Peter Fader, PhD

    Frances and Pei-Yuan Chia Professor; Professor of Marketing, The Wharton School

    Research Interests: Lifetime value of the customer, sales forecasting for new products, behavioral dataSee Faculty Bio

  • Noah Gans

    Anheuser-Busch Professor of Management Science; Professor of Operations, Information and Decisions; Department Chairperson, The Wharton School

    Research Interests: Service operations, stochastic processes, the control of queueing systemsSee Faculty Bio

  • Raghuram Iyengar, PhD

    Associate Professor of Marketing; Faculty Co-Director - Wharton Customer Analytics Initiative

    Research Interests: Pricing, social influence, social networksSee Faculty Bio

  • Sergei Savin, PhD

    Associate Professor of Operations, Information and Decisions, The Wharton School

    Research Interests: Capacity and patient flow management in health care operations, diffusion models for new products and services, revenue managementSee Faculty Bio

  • Senthil Veeraraghavan, PhD

    Professor of Operations, Information and Decisions, The Wharton School

    Research Interests: Empirical operations management, operations analytics, operations management, operations strategy, pricing and revenue management, service operations management, supply chain managementSee Faculty Bio