Business Analytics
Data Reduction Techniques Using Excel and R
Master Advanced Excel Data & Analytics Skills,
With businesses having to grapple with increasing amounts of data, the need for data reduction has intensified in recent years. To make sense of an overabundance of information, you can use cluster analysis—which allows you to develop inferences about a handful of groups instead of an entire population of individuals—as well as principal components analysis, which exposes latent variables.
Contents:
- Introduction
- 1. Problems Raised by Massive Amounts of Data
- 2. An Overview of Principal Components Analysis
- 3. An Overview of Cluster Analysis
- 4. Putting It Together: Using Cluster Anaysis and Factor Analysis in Concert
- Conclusion
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| Rating | Not enough ratings |
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| Length | 1h 2m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Conrad Carlberg |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science Business Programming |
| Tags | Data Analysis Business Big Data R Data Modeling Business Analytics R (Programming Language) |
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| Rating | Not enough ratings |
|---|---|
| Length | 1h 2m |
| Starts | On Demand (Start anytime) |
| Cost | $29/month (Access to entire library- free trial available) |
| From | LinkedIn Learning |
| Instructor | Conrad Carlberg |
| Download Videos | Only via the LinkedIn Learning mobile app |
| Language | English |
| Subjects | Data Science Business Programming |
| Tags | Data Analysis Business Big Data R Data Modeling Business Analytics R (Programming Language) |
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