Free Download Intro to Open-Source Data Analytics with R
Published 11/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 57m | Size: 579 MB
Learn how to download/setup the R environment, load/save files, execute commands, and explore/visualize data.
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
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
Homepage
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