Developing and Analyzing Statistical Models with R

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This course serves as a comprehensive introduction to the R programming language.

Intermediate

108 Lessons

23h

Certificate of Completion

This course serves as a comprehensive introduction to the R programming language.

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

437 Playgrounds

9 Quizzes

This course includes

437 Playgrounds

9 Quizzes

Course Overview

R is a programming language for organizing and analyzing statistical data. R is a popular language for data mining, used for bioinformatics and statistical analysis - an essential skill in the era of big data. This course serves as a comprehensive introduction to the R programming language. You’ll learn to manipulate and analyze data working with a real-world dataset (published in Ecology in 2013). You’ll start with an introduction to data analysis before developing rich experimental designs to collect rel...Show More

What You'll Learn

Get familiarized with the basics of R via properly structured chapters and assignments.

Hands-on experience in typing along with the instructions will help overcome the "fear of the R prompt."

Learn to analyze data and think critically about data presented in research and the public realm.

Learn how to seek information to help solve problems and errors with the examples provided.

What You'll Learn

Get familiarized with the basics of R via properly structured chapters and assignments.

Course Content

Course Introduction

About This Course Goals and Course Layout

Introduction to R

Basics of R Objects in R Functions in R Data Representation in R Vectors and Matrices in R Data Frames and Lists in R Summary Exercise: Create Factors and a Data Frame Solution: Create Factors and a Data Frame Exercise: Create Plots with Numerical Data Solution: Create Plots with Numerical Data Exercise: Create Plots with Categorical Data Solution: Create Plots with Categorical Data Quiz: Introduction to R

Thoughts on Proper Data Analysis

Experimental Designs Plan an Experiment Decide Between Competing Analyses Summary

Exploratory Data Analysis and Data Summarization

About the Data

Data Exploration and Error Checking Fixing Mistakes in the Data Summarizing and Manipulating Data Summary Exercise: Hands-on Data Filtering/Manipulation Solution: Hands-on Data Filtering/Manipulation Exercise: Create Box and Whisker Plots Solution: Create Box and Whisker Plots Quiz: Exploratory Data Analysis

Introduction to Plotting

Introduction to Plotting Different Types of Plotting Techniques Plotting Data Using gplots Plotting Data Using ggplot2 Summary Exercise: Create Plots with Facets, Colors and Descriptive Labels Solution: Create Plots with Facets, Colors and Descriptive Labels Exercise: Create Enhanced Bar Plots Solution: Create Enhanced Bar Plots Quiz: Introduction to Plotting

Basic Statistical Analysis Using R

11 Lessons

More Linear Models in R

15 Lessons

Advanced Statistical Analysis Using R

9 Lessons

Mixed-effects Model

10 Lessons

10.

Advanced Data Wrangling and Plotting

11 Lessons

11.

Writing Loops and Functions in R

8 Lessons

12.

Appendix

2 Lessons

13.

Conclusion

2 Lessons

Course Author

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Anthony Walker

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Evan Dunbar

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Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Souvik Kundu

Front-end Developer

Eric Downs

Musician/Entrepeneur

Anthony Walker

@_webarchitect_

Evan Dunbar

ML Engineer

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