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Intro to Open-Source Data Analytics with R

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57:37

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  • 1 -Getting Started.mp4
    05:06
  • 2 -Installing R and R Studio, CreatingSaving Files, Executing Commands.mp4
    17:07
  • 3 -Dealing with Data.mp4
    12:28
  • 4 -Basic Data Viz.mp4
    16:14
  • 5 -Conclusions on Coding Its for Everyone.mp4
    06:42
  • Files.zip
  • Description


    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

    Who is this for?


  • Beginner analysts seeking to access open source tools for data science
  • What You Need to Know?


  • All are welcome
  • More details


    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

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    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 5
    • duration 57:37
    • Release Date 2025/02/25

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