Ibuil's R-Releosaurus Season 1 (Practical Edition)

Name: Ibuil's R-Releosaurus Season 1 (Practical Edition)
Rating: 4.9 (14 reviews)

Through this lecture, you can learn the statistical test process using R. If you are not familiar with R installation and basic grammar, you can start watching from Season 2.

(4.9) 14 reviews

656 learners

Level Basic

Course period Unlimited

buillee

Reviews from Early Learners

4.9

5.0

쿠카이든

7% enrolled

It's a good lecture in statistics~! I'll listen to it and go since it's a good lecture.

5.0

KYUNG TAE BAE

7% enrolled

I'm learning a lot about R! Thank you for the great lecture~~

5.0

doubleh

21% enrolled

I was looking for a lecture because I urgently needed statistics, and I came across this.. The lecture content is really good. Thank you for the great lecture. (_ _)

What you will gain after the course

R
statistics

Statistical testing using R!
Master data science that can be applied in practice.

Programming language for data processing & analysis,
Interested in R? 📐

Lee Bu-il's R-Release Season 1 - Practical Edition focuses on statistical testing.
Season 2 - We're revising the book from the beginning, but if you're interested in statistical testing using the R language, I highly recommend it!

If you need a complete beginner's guide starting from R installation, see Season 2 - Basics .
If you need practical training right now, I recommend taking this practical course (statistics test)! ^_^

• In the lecture on significance probability

• Independent two-sample test

Recommended for
these people

Who is this course right for?

For those who are new to coding
RStudio is installed by you
For those who are bored
Those who need change in the face of the 4th industrial revolution
Anyone who can do this

Hello
This is buillee

1,383

Learners

Reviews

Answers

4.9

Rating

Courses

Hello.

I majored in statistics and currently run a company called Insight Mining Co., Ltd.

Insight Mining Co., Ltd. analyzes data from various fields,

We provide services such as data analysis lectures, data analysis software development, and the development of data analysis textbooks.

Ning analyzes data across various fields, conducts lectures on data analysis, develops data analysis software, and creates educational materials related to data analysis.

The main programs I use are open-source R and Python.

I can also use commercial software such as SAS and SPSS.

Please feel free to contact me anytime if you have a request for a lecture or data analysis.

My email address is as follows.

buillee@insightmining.co.kr

Curriculum

All

86 lectures ∙ (31hr 26min)

Section 1. R Basics

15 lectures ∙ (4hr 9min)

1. Find frequency
06:09
2. Finding the percentage
07:10
3. Get frequency and percentage at once using the prettyR package
16:44
4. tab1() function in the epiDisplay package
11:30
5. Bar graph using the barplot() function
29:26
6. Bar graph using the ggplot2 package
18:22
7. Bar graph using plotly package
19:27
8. Creating frequency tables for univariate quantitative data
28:45
9. Creating a histogram using the hist() function
19:13
10. Creating a histogram using the ggplot2 package
13:28
11. Creating a histogram using the plotly package
13:31
12. Creating a boxplot using the boxplot() function
14:13
13. How to create a boxplot
21:44
14. Creating a boxplot using the ggplot2 package
19:57
15. Creating a box plot using the plotly package
10:04

Section 2. Technical statistics

14 lectures ∙ (4hr 8min)

16. Concept of descriptive statistics (1)
22:31
17. Concept of descriptive statistics (2)
14:59
18. Obtaining technical statistics (center = representative value) (1)
13:42
19. The concept of descriptive statistics (spread=dispersion=difference)
29:16
20. Obtaining technical statistics (2)
14:14
21. Obtaining technical statistics (3)
18:36
22. Obtaining descriptive statistics using the psych package
25:43
23. Extracting columns (variables) using the dplyr package
24. Obtaining descriptive statistics using the dplyr package
16:44
25. Extracting rows using the dplyr package
22:39
26. Pipe function and creating new variables in the dplyr package
19:36
27. Descriptive statistics and sorting using the dplyr package
19:54
28. Merging data using the dplyr package
20:53
29. Semi join and anti join using dplyr package
09:16

Section 3. Distribution and significance level

13 lectures ∙ (4hr 31min)

30. Population and Sample
12:56
31. Distribution
14:49
32. Concept of normal distribution
21:29
33. Finding probability from normal distribution using R
21:42
34. Distribution of sample means
23:05
35. distribution
17:57
36. Hypothesis testing (1)
12:30
37. What is significance level? (1)
19:31
38. Hypothesis testing (2)
30:26
39. What is the significance level? (2)
34:52
40. Normalization of normal distribution
16:53
41. What is significance level? (1)
26:19
42. What is significance level? (2)
19:26

Section 4. one sample test

5 lectures ∙ (2hr 11min)

Section 5. Independent two-sample test

7 lectures ∙ (2hr 44min)

Section 6. Paired two-sample test

5 lectures ∙ (1hr 33min)

Section 7. Analysis of Variance

8 lectures ∙ (3hr 2min)

Section 8. Correlation analysis

5 lectures ∙ (2hr 35min)

Section 9. Regression analysis

14 lectures ∙ (6hr 29min)

Published: 06/04/2020

Last updated: 06/05/2020

Reviews

All

14 reviews

4.9

14 reviews

jjhgwx
Reviews 1,217
∙
Average Rating 4.9
05/08/2026
5
6% enrolled
Thank you for the great lecture!
devkuka
Reviews 334
∙
Average Rating 5.0
04/06/2024
5
7% enrolled
I'm learning a lot about R! Thank you for the great lecture~~
- buillee
  Instructor
  04/08/2024
  Thank you. I'm glad.
kukaeden
Reviews 549
∙
Average Rating 5.0
04/26/2024
5
7% enrolled
It's a good lecture in statistics~! I'll listen to it and go since it's a good lecture.
- buillee
  Instructor
  04/29/2024
  Great review, thank you.
metalzoa4440
Reviews 1
∙
Average Rating 5.0
10/31/2020
5
21% enrolled
I was looking for a lecture because I urgently needed statistics, and I came across this.. The lecture content is really good. Thank you for the great lecture. (_ _)
sdjang6221
Reviews 97
∙
Average Rating 4.2
06/23/2025
5
30% enrolled

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What you will gain after the course

Programming language for data processing & analysis, Interested in R? 📐

Recommended for these people

HelloThis is buillee

Curriculum

Reviews

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Programming language for data processing & analysis,
Interested in R? 📐

Recommended for
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Hello
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