Getting started with R data analysis

Easy and fun, with practical examples! This is a 7-day R data analysis roadmap lecture based on the contents of the book ใ€ŽGetting Started with R Data Analysisใ€ (Hanbit Media).

(4.7) 20 reviews

1,593 learners

Level Beginner

Course period Unlimited

R
R
ggplot2
ggplot2
R
R
ggplot2
ggplot2

Reviews from Early Learners

Reviews from Early Learners

4.7

5.0

๋™ํ•ด๋ฌผ๊ณผ๋ฐฑ๋‘์‚ฐ์ด๋งˆ๋ฅด๊ณ ๋‹ณ๋„๋ก

10% enrolled

I'm suddenly thrown into the data field and have no background knowledge, but I'll be able to follow along with this one lecture!

5.0

wldbs1944

10% enrolled

Nice to see you!

5.0

kyhwang

100% enrolled

Beginners will enjoy listening to it

What you will gain after the course

  • R

  • Data Analysis

Data is power! ๐Ÿ“ˆ
Introduction to R data analysis in 7 days.

Fast and fun,
With rich and interesting practical examples
Get started with R data analysis.

1๏ธโƒฃ Systematic learning according to the 7-day completion roadmap

When starting anything, the most difficult question is "How do I get started?" Follow the 7-Day Learning Roadmap provided in the book "R Data Analysis for Beginners" and review with the "One-Day Summary" and "Four Practical Projects." Before you know it, you'll be utilizing data analysis in your work.

2๏ธโƒฃ Kind configuration that moved the entire R Studio

The best way to learn a new tool is through hands-on practice. But what if you're on the go or don't have access to a practical environment? This course faithfully captures the content of R Studio's Script and Console windows, allowing you to learn effectively anytime, anywhere. Furthermore, like a one-on-one tutor, nearly every line of code is commented to minimize the difficulty of self-study.

3๏ธโƒฃ Provides direct video lectures from the author and convenient Q&A

While it's helpful to have someone to study with or help you, even a little help can make a big difference when studying independently. With this in mind, I've created this video lecture on YouTube, highlighting key points and content that can be difficult to cover on your own. If you have any questions, please visit the author's GitHub ( https://github.com/newstars/HelloR/issues ) and leave a Q&A in the [Issues] tab.

๐Ÿ“ข Please check before taking the class!

  • This lecture is a video lecture directly delivered by the author based on the contents of the book "R Data Analysis for Beginners" (Hanbit Media).
  • Due to the recording environment, the audio quality of the video may vary. Before attending the lecture, please check the audio quality using the [Preview] button.

Recommended for
these people

Who is this course right for?

  • Data Analysis Beginner

  • Non-majors such as data analysis/computer engineering

  • For those new to coding

Hello
This is Junhee Kang

4,055

Learners

91

Reviews

4.8

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Courses

Curriculum

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30 lectures โˆ™ (4hr 16min)

Published: 
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20 reviews

4.7

20 reviews

  • wldbs19447674๋‹˜์˜ ํ”„๋กœํ•„ ์ด๋ฏธ์ง€
    wldbs19447674

    Reviews 22

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    Average Rating 5.0

    5

    10% enrolled

    Nice to see you!

    • abcedfg๋‹˜์˜ ํ”„๋กœํ•„ ์ด๋ฏธ์ง€
      abcedfg

      Reviews 504

      โˆ™

      Average Rating 5.0

      5

      10% enrolled

      I'm suddenly thrown into the data field and have no background knowledge, but I'll be able to follow along with this one lecture!

      • sdjang6221๋‹˜์˜ ํ”„๋กœํ•„ ์ด๋ฏธ์ง€
        sdjang6221

        Reviews 97

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        Average Rating 4.2

        4

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        • kyhwang0829๋‹˜์˜ ํ”„๋กœํ•„ ์ด๋ฏธ์ง€
          kyhwang0829

          Reviews 5

          โˆ™

          Average Rating 5.0

          5

          100% enrolled

          Beginners will enjoy listening to it

          • kmw4611๋‹˜์˜ ํ”„๋กœํ•„ ์ด๋ฏธ์ง€
            kmw4611

            Reviews 3

            โˆ™

            Average Rating 5.0

            5

            30% enrolled

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