Data-Centric Statistical Inference Using R and Tidyverse/

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Review: Data Science Pipeline

Learn about the ModernDive with statistical inference.

We'll cover the following...

Needed packages

Let’s have a refresher of what has been covered so far. We started with data in the first chapter, where we learned about the difference between R and RStudio, started coding in R, installed and loaded our first R packages, and explored our first dataset. This dataset was about all domestic departure flights from a major New York City airport in 2013. Then we covered the following three parts of this course:

Data science with tidyverse: We assembled our data science toolbox using tidyverse packages. In particular, we:
- Visualized data using the ggplot2 package
- Wrangled data using the dplyr ...

Getting Started with Data in R

Data Visualization

Data Wrangling

Data Importing and “Tidy” Data

Basic Regression

Multiple Regression

Statistical Inference with the infer Package

Bootstrapping and Confidence Intervals

Hypothesis Testing

Inference for Regression

Price Prediction With Regression Analysis in R

Tell a Story with Data

Appendix

Uber Data Analysis Using the R Language

Review: Data Science Pipeline