Who should attend
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
- Executive Directors
- Product Managers
- Assistant Directors
- Chief Marketing Officers
- Financial Analysts
- Portfolio Managers
- Business Analysts
- Investment Directors
- Vice Presidents
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?
The amount of data doubles every three years as various digital sources continue to make information available. Source: McKinsey & Company
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
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.
Correlation and Causation
- Objective and Subjective
- Strand or Seasonal Variation
- Exponential Smoothing
- Descriptive Statistics
- Trends and Seasonality
- New Product
- Analysis ToolPak
- Solver Optimization Tool
Data Visualization and Interpretation
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...
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...
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...
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...
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...
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...
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...
Videos and materials
Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.
We are happy to help you find a suitable online alternative.