Business Analytics
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Full disclaimer.Description
This five-day program provides intensive, hands-on training in the application of analytical techniques to support organizational decision-making. Participants will develop a broad understanding of fundamental concepts and analytical tools, including descriptive, predictive and prescriptive models. In addition to building competence and experience in these areas, the program will also focus on determining ways to apply the techniques to have an immediate impact in the participant’s organization. No previous experience with analytical tools is required for this program.
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See all related coursesBusiness 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