The Data Science of Retail, Sales, and Commerce
1h 10mGeneral2018-04-02
Authors

Barton Poulson
Professor, Designer, Data Analytics Expert
Course details
How does technology constantly gather data from the world of commerce around us? What can you derive from the data found in retail sales and consumer spending? This course explores the crucial ways in which businesses are affected by technology and how companies are harnessing ubiquitous data to improve business. Join Barton Poulson as he takes you through how data is being used to understand customers, recommend products to customers, gain new customers, drive customer loyalty, and more.
Learning objectives
Data fundamentals
Retail, sales, and marketing data
Analyzing consumer sentiment
Exploring market segmentation
Evaluating leads and customers
Getting recommendations from engines
Pricing dynamically
Predicting trends
Learning objectives
Data fundamentals
Retail, sales, and marketing data
Analyzing consumer sentiment
Exploring market segmentation
Evaluating leads and customers
Getting recommendations from engines
Pricing dynamically
Predicting trends
Skills covered
Data EngineeringData AnalysisData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOne-Off
Concepts
Introduction
- Welcome
Applying Data Science
- Data fundamentals for retail, sales, and marketing
- Explore basic data tasks
- Sentiment analysis
- Explore market segmentation
- Score leads and customers
- Recommendation engines
- Dynamic pricing
- Examine ethics and unintended consequences
- Predict trends
Conclusion
- Next steps
- Careers