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Intro to Open-Source Data Analytics with R
Rating: 4.8 out of 5(4 ratings)
36 students

Intro to Open-Source Data Analytics with R

Learn how to download/setup the R environment, load/save files, execute commands, and explore/visualize data.
Last updated 11/2024
English

What you'll learn

  • Learn the advantages of open source data analysis
  • Learn simple steps for loading, cleaning, analyzing, and visualizing data
  • Gain familiarity with the command line and R environment
  • Open, edit, and save your first scripts/projects
  • Interact with the instructor to gain hands on experience

Course content

1 section5 lectures57m total length
  • Getting Started5:06

    Welcome to the course! This lecture provides an overview and introduction to the course.

  • Installing R and R Studio, Creating/Saving Files, Executing Commands17:07

    Learn how to install R and R studio. Start your first project, learn to open/save R script files, and how to execute commands.

  • Dealing with Data12:28

    Learn how to load, explore, and begin visualization data.

  • Basic Data Viz16:14

    Learn how to plot data with base R. GGplot bonus guide included for independent learning!

  • Conclusions on Coding: It's for Everyone6:42

    Conclusions from the course and some unique fun with R. Thank you so much!

  • Test your skills

Requirements

  • All are welcome

Description

This beginner course offers an engaging introduction to R, designed for anyone interested in learning data analysis and visualization—no prior programming experience required! R is a versatile, powerful tool widely used in data science, statistics, and research across fields. This course covers all the essentials, starting from the basics of installing and setting up R, to loading and managing data, and exploring data visually. Students will work hands-on with popular datasets, learning how to manipulate data, create meaningful visualizations, and understand fundamental concepts in data analysis.

Through a combination of clear explanations, practical examples, and fun exercises, you’ll gain confidence in using R’s core functions and discover how to harness its potential for projects in science, business, social sciences, and more. By the end of the course, you’ll be equipped to import, explore, and analyze datasets, create compelling visualizations, and be ready to take on more advanced projects in R or data science. This course is designed to make learning R accessible, enjoyable, and directly applicable, providing valuable skills for students, professionals, and anyone eager to enter the world of data. Thank you so much for your interest in the course. Feel free to reach out with any questions you may have!

Who this course is for:

  • Beginner analysts seeking to access open source tools for data science