Complete Your First Project in R

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Megan Silvey

2:14:36

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01 - Introduction

01 - Introduction to R.mp4

00:40

02 - What you should know.mp4

00:36

03 - RStudio.mp4

08:10

02 - 1. Exploring Customer Data

01 - Introducing Red30 Tech.mp4

01:55

02 - Understanding Red30 Tech data.mp4

06:19

03 - How to perform basic descriptive analysis.mp4

06:43

04 - How to find top customers.mp4

04:31

05 - How to better understand customers.mp4

04:41

06 - How to analyze sales employees.mp4

05:32

07 - How to determine the best product category.mp4

05:25

08 - Challenge Customer longevity analysis.mp4

01:29

09 - Solution Customer longevity analysis.mp4

02:49

03 - 2. Classification Analysis

01 - Understanding classification analysis.mp4

03:55

02 - How to prepare data for classification.mp4

06:31

03 - How to run a decision tree algorithm.mp4

07:09

04 - How to run a random forest algorithm.mp4

04:03

05 - How to run a support vector machine algorithm.mp4

03:11

06 - Understanding summary metrics.mp4

02:38

07 - How to decide which algorithm is best.mp4

03:56

08 - How to improve the chosen algorithm.mp4

05:59

09 - Challenge Explore the chosen algorithm.mp4

01:36

10 - Solution Explore the chosen algorithm.mp4

04:38

04 - 3. Cluster Analysis

01 - Understanding cluster analysis.mp4

04:30

02 - How to prepare data for clustering.mp4

04:56

03 - How to run a k-means algorithm.mp4

07:34

04 - How to run a hierarchical clustering algorithm.mp4

05:26

05 - How to run a GMM clustering algorithm.mp4

07:14

06 - Evaluating cluster results.mp4

04:58

07 - Challenge Clustering late payment customers.mp4

01:53

08 - Solution Clustering late payment customers.mp4

04:52

05 - Conclusion

01 - Next steps.mp4

00:47

Description

Expand your knowledge and skillset with R in this course with data science consultant Megan Silvey. Megan presents a hands-on project using R to analyze sales data and work through a real-world scenario that focuses on performing data analysis for customers of an enterprise tech company. Get experience using data analysis and machine learning techniques, including classification and clustering, to analyze data that includes information about orders, sales employees, customers, products purchased, and customer payment statuses. Join Megan in this course to gain know-how and skills to take your data career to the next level.

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R Programming

Megan Silvey

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Linkedin Learning

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LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.