Master R for Data Science
Offered By: LinkedIn Learning
Course Description
Overview
Learn the most popular data-science-specific language: R! This learning path provides a strong foundation of skills and knowledge on which to build your coding resume.
- Learn how R works, from the foundational concepts on up.
- Practice using R with two of the most common tools in data science: Excel and Tableau.
- Explore the applied use of R in social network analysis.
Syllabus
- Course 1: Learning R
- Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.
- Course 2: Code Clinic: R
- Practice coding with R. Explore common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.
- Course 3: Data Wrangling in R (2017)
- Learn about the principles of tidy data, and discover how to create and manipulate data tibbles—transforming them from source data into tidy formats.
- Course 4: R Essential Training: Wrangling and Visualizing Data
- Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.
- Course 5: Social Network Analysis Using R
- Examine the relationships and trends among social networks in new and exciting ways. Learn how to perform social network analysis with R.
- Course 6: R Programming in Data Science: Setup and Start
- Learn how to choose and install a version of R-base R, tidyverse R, R Open, or Bioconductor R-and install useful R packages.
- Course 7: Integrating Tableau and R for Data Science
- Discover how to combine Tableau and R to provide your business with the ability to see and understand your data. Learn how to integrate these platforms and when to use either one.
- Course 8: R for Excel Users
- Update your data science skills by learning R. Learn how data analysis and statistics operations are run in Excel versus R and how to move data back and forth between each program.
- Course 9: Logistic Regression in R and Excel
- Learn how to perform logistic regression using R and Excel. This course shows how to process, analyze, and finalize forecasts and outcomes.
Taught by
Barton Poulson, Mark Niemann-Ross, Mike Chapple, Barton Poulson, Curtis Frye, Mark Niemann-Ross, Ben Sullins, Conrad Carlberg and Conrad Carlberg
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