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About the course

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.

Why Study Business Analytics?

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

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

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

Trust the experts

Peter Fader

Peter S. Fader is the Frances and PeiYuan Chia Professor of Marketing at the Wharton School of the University of Pennsylvania. His expertise centers around the analysis of behavioral data to understand and forecast customer shopping/purchasing activities. He works with firms from a wide range of ...

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Christopher Ittner

Professor Ittner’s research focuses on the design, implementation, and performance consequences of performance measurement, cost management, and enterprise risk management systems. His articles have been published in the Harvard Business Review and leading academic accounting, marketing, and oper...

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Matthew Bidwell

Matthew Bidwell's research examines new patterns in work and employment, focusing in particular the causes and effects of more shortterm, market oriented employment relationships. He has conducted detailed research on the contracting workforce in information technology, publishing papers on how t...

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Ron Berman

Ron is an assistant professor of marketing at the Wharton School. He focuses his research on online marketing, marketing analytics and the marketing actions of startup firms. His recent research looks at how advertisers incorrectly attribute sales to online advertising which results in suboptimal...

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Eric Bradlow

An applied statistician, Eric uses high-powered statistical models to solve problems on everything from Internet search engines to product assortment issues. Specifically, his research interests include Bayesian modeling, statistical computing, and developing new methodology for unique data struc...

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Noah Gans

Noah Gans's research focuses on service operations, and he has a particular interest in the management of telephone call centers. He is the Department Editor of Stochastic Models and Simulation for Management Science.  In 20102011, he was the President of Manufacturing and Service Operations Mana...

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Raghuram Iyengar

Professor Raghu Iyengar's research interests fall in two domains: pricing and social influence. In the area of pricing, his work focuses on the impact of multipart pricing schemes on consumer response. The success of such pricing mechanisms to extract consumer surplus depends on how consumers res...

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Sergei Savin

Professor Savin’s research expertise is centered on operational aspects of health care delivery, improving patient access to care, and optimal management of diagnostic and treatment capacity. His articles have appeared in Management Science, Operations Research, and Manufacturing and Service Oper...

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Senthil Veeraraghavan

Senthil Veeraraghavan researches on the role of Information and Uncertainty in Operations Management, using Theory and Data Analysis. His current research is on Operational implications of consumer reactions to Dynamic Pricing. His research has appeared in Management Science, Operations Research...

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