YoVDO

Master R for Data Science

Offered By: LinkedIn Learning

Tags

Data Science Courses Data Visualization Courses R Programming Courses Social Network Analysis Courses Statistical Analysis Courses Data Wrangling Courses Data Modeling Courses Logistic Regression Courses

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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