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

Name: Ibuil's R-Releosaurus Season 1 (Practical Edition)
Rating: 4.9 (13 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) 13 reviews

647 learners

buillee

Reviews from Early Learners

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

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1,361

Learners

Reviews

Answers

4.9

Rating

Courses

안녕하세요.

저는 통계학을 전공하고, 현재는 (주)인사이트마이닝 이라는 회사를 운영하고 있습니다.

(주)인사이트마이닝은 다양한 분야의 데이터를 분석,

데이터 분석과 관련한 강의, 데이터 분석 관련 소프트웨어 개발, 데이터 분석 관련 교재 개발 등을 하고 있습니다.

주요 프로그램은 오픈소스인 R과 Python을 다루고 있습니다.

여기에다 유료(상용) 프로그램인 SAS, SPSS도 사용할 수 있습니다.

데이터 분석과 관련한 강의 요청이나 데이터 분석에 대한 요청이 있으시면 언제든지 연락주십시오.

제 메일 주소는 다음과 같습니다.

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:

Last updated:

Reviews

All

13 reviews

4.9

13 reviews

sdjang6221
Reviews 97
∙
Average Rating 4.2
5
30% enrolled
kukaeden
Reviews 485
∙
Average Rating 5.0
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
  Great review, thank you.
devkuka
Reviews 286
∙
Average Rating 5.0
5
7% enrolled
I'm learning a lot about R! Thank you for the great lecture~~
- buillee
  Instructor
  Thank you. I'm glad.
metalzoa4440
Reviews 1
∙
Average Rating 5.0
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. (_ _)
hyongsu44
Reviews 868
∙
Average Rating 5.0
5
100% enrolled
Thank you for the lecture. I think I gained a lot of statistical knowledge.
- buillee
  Instructor
  Thank you so much^^

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

Reviews from Early Learners

What you will gain after the course

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

Recommended for these people

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Curriculum

Reviews

buillee's other courses

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

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