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Wharton School of Business

Business Analytics: From Data to Insights

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Description

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

Experts

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 ...
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...
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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