Learn about cluster analysis.
- Think about your closet at home.…Do you keep certain types of clothing…like T-shirts or dress shirts, jeans and slacks,…organized into groups or is it a mishmash?…How about a sock drawer, do you have one of those?…Whether you keep things organized in groups or not…is your own personal preference,…and this is certainly not intended to be…a critique on your own personal organizational habits.…To each their own as they say,…but the idea of a sock drawer,…the concept of all things in their place as they say.…Those sorts of organizational devices…help things in general to stay organized,…to stay efficient.…
Need a pair of socks?…Well if you have a sock drawer, you know where to go.…Now, we do this kind of thing all the time, right?…We sort similar things into groups,…so we can make sense of them.…This is what cluster analysis is all about.…Sorting your data into groups.…Now, this is actually a very powerful concept…when applied to marketing.…In the marketing world, we talk about market segments,…and competitive sets, and business units,…
In this course, discover how to gain valuable insights from large data sets using specific languages and tools. Follow Chris DallaVilla as he walks through how to use R, Python, and Tableau to perform data modeling and assess performance. As Chris dives into these concepts, he shares specific case studies that come directly from his own work with clients. Plus, he shares three essential—and practical—best practices for data-driven marketing that you can use to bolster your organization's marketing performance.
- Installing R, Python, and Tableau
- Navigating the UI for R, Python, and Tableau
- Using R, Python, and Tableau
- Exploratory analysis
- Performing regression analysis
- Performing a cluster analysis
- Performing a conjoint assessment
- Stakeholder alignment
Skill Level Intermediate
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Learning Data Science: Tell Stories With Datawith Doug Rose1h 17m Appropriate for all
1. Software Installation
2. Data, Exploratory Analysis, and Performance Analysis
3. Inference and Regression Analysis
5. Cluster Analysis
6. Conjoint Analysis
7. Best Practices
Next steps1m 8s
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