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Data Analysis

R data analysis for self-study

This lecture is a data analysis lecture based on the book 'Study R Data Analysis on Your Own'.

(4.8) 59 reviews

2,357 learners

  • Junhee Kang
R
Big Data

Reviews from Early Learners

What you will learn!

  • R

  • Data Analysis

Data is power! 📈
Data analysis learning is sufficient even if done alone.

✅ Self-study is enough! Learn R data analysis with a one-on-one tutoring tutorial.

This course is designed to help beginners learning R data analysis on their own master the essentials. Considering the vagueness of beginners, who often don't even know what to learn or how to learn, this course provides a friendly, yet concise, introduction to the essentials, much like a private tutor. From the first page of the book to the last, you'll be confident and confident that you can master data analysis on your own!

✅ A personalized, book-based course for beginners, "created together" with 30 beta readers.

We worked with 30 beta readers to ensure the book's difficulty, length, and learning elements are appropriate for beginners. Difficult terms and concepts are rewritten, and complex explanations are presented with visually appealing illustrations. This book's greatest strength lies in the invaluable insights and perspectives of numerous beginners who have "studied independently."

🙋‍♀️ Who is this course for?

  • A beginner learning both programming and statistics for the first time
  • Non-majors who want to start data analysis using the R language
  • A statistics major who took the R language course in college but still has regrets
  • Office workers who lack the time and resources to learn data analysis through academies or lectures.
  • Anyone interested in data analysis

📢 Please check before taking the class!

  • This lecture is a video lecture directly delivered by the author based on the contents of the book "Study R Data Analysis on Your Own" (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?

  • Those who study data analysis on their own

  • Data Analysis Beginner

  • Non-data analysis major

  • For those new to coding

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4.8

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20 lectures ∙ (3hr 7min)

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59 reviews

4.8

59 reviews

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