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Data Science

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Data Analysis

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 『Getting Started with R Data Analysis』 (Hanbit Media).

(4.7) 19 reviews

1,568 learners

  • Junhee Kang
뉴비 환영
R
ggplot2

Reviews from Early Learners

What you will gain after the course

  • R

  • Data Analysis

Data is power! 📈
Introduction to R data analysis in 7 days.

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

1️⃣ 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.

2️⃣ 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.

3️⃣ 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.

📢 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

3,977

Learners

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Reviews

4.8

Rating

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Courses

Curriculum

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30 lectures ∙ (4hr 16min)

Published: 
Last updated: 

Reviews

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19 reviews

4.7

19 reviews

  • abcedfg님의 프로필 이미지
    abcedfg

    Reviews 503

    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!

    • wldbs19447674님의 프로필 이미지
      wldbs19447674

      Reviews 22

      Average Rating 5.0

      5

      10% enrolled

      Nice to see you!

      • kyhwang0829님의 프로필 이미지
        kyhwang0829

        Reviews 5

        Average Rating 5.0

        5

        100% enrolled

        Beginners will enjoy listening to it

        • sdjang6221님의 프로필 이미지
          sdjang6221

          Reviews 97

          Average Rating 4.2

          4

          30% enrolled

          • bbb42424014님의 프로필 이미지
            bbb42424014

            Reviews 16

            Average Rating 5.0

            5

            30% enrolled

            Free

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