Adrenaline-Education

Course 4 of 4 in this specialization

Analyze and Visualize Data with R

Coming soon 36 topics Self-paced · Online
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Where this comes from

Built from the Wiley title of the same name — professionally edited, technically reviewed, and already relied on by people doing this work.

Source ISBN 9781119983712

How it was built

Sejal Learning Systems rebuilt the book as a course: objectives first, then short video, worked examples, and practice with real feedback. It runs on Coursera at your own pace, with a certificate on completion.

Analyze and Visualize Data with R is a self-paced online course built from the Wiley title of the same name.

What this course covers

  • Introduction
  • Book 1: Introducing R
  • Chapter 1: R: What It Does and How It Does It
  • Chapter 2: Working with Packages, Importing, and Exporting
  • Book 2: Describing Data
  • Chapter 1: Getting Graphic
  • Chapter 2: Finding Your Center
  • Chapter 3: Deviating from the Average
  • Chapter 4: Meeting Standards and Standings
  • Chapter 5: Summarizing It All
  • Chapter 6: What’s Normal?
  • Book 3: Analyzing Data
  • Chapter 1: The Confidence Game: Estimation
  • Chapter 2: One-Sample Hypothesis Testing
  • Chapter 3: Two-Sample Hypothesis Testing
  • Chapter 4: Testing More than Two Samples
  • Chapter 5: More Complicated Testing
  • Chapter 6: Regression: Linear, Multiple, and the General Linear Model
  • Chapter 7: Correlation: The Rise and Fall of Relationships
  • Chapter 8: Curvilinear Regression: When Relationships Get Complicated
  • Chapter 9: In Due Time
  • Chapter 10: Non-Parametric Statistics
  • Chapter 11: Introducing Probability
  • Chapter 12: Probability Meets Regression: Logistic Regression
  • Book 4: Learning from Data
  • Chapter 1: Tools and Data for Machine Learning Projects
  • Chapter 2: Decisions, Decisions, Decisions
  • Chapter 3: Into the Forest, Randomly
  • Chapter 4: Support Your Local Vector
  • Chapter 5: K-Means Clustering
  • Chapter 6: Neural Networks
  • Chapter 7: Exploring Marketing
  • Chapter 8: From the City That Never Sleeps
  • Book 5: Harnessing R: Some Projects to Keep You Busy
  • Chapter 1: Working with a Browser
  • Chapter 2: Dashboards — How Dashing!