Ibuil's R-Releosaurus Season 1 (Practical Edition)
buillee
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.
初級
R
You can learn how to process data using R. Even beginners in programming can follow along.
Reviews from Early Learners
5.0
쿠카이든
I learned a lot about R. Thank you for the great lecture~~!
5.0
드로우
Thank you for the great lecture.
5.0
조아람
Easy and detailed explanation..Good teacher
Basic usage of R
statistics
R that even beginners and beginners can follow!
Take a step closer to data science.
If so, don't worry and I recommend you to take the pre-registration course !
Lee Bu-il's R-Release Season 2 starts from the very basics .
Even those who have never programmed before can take this course!
When handling data using the R language,
You will find yourself a little closer to data science.
• Operator lecture
• In the vector lecture
Who is this course right for?
For those who are new to programming
Anyone who wants to learn R
For those who want to know statistics
Anyone who wants to touch the data
For those who are bored
Everyone who sees this article
1,367
Learners
37
Reviews
1
Answers
4.9
Rating
2
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
All
38 lectures ∙ (13hr 41min)
5. operator
47:44
6. Type of data
31:53
7. Vector 01
43:36
8. Vector 02
38:10
9. Factor 01
45:36
10. Factor 02
15:17
11. Matrix 01
25:51
12. Matrix 02
10:28
13. Matrix 03
27:25
14. Matrix 04
46:48
15. Array
19:57
16. data.frame
25:07
17. List
27:52
18. Read csv
12:45
19. read excel
28:17
21. read txt
25:16
22. Save as txt
18:27
23. Save as csv
05:05
24. Save as excel
07:17
All
24 reviews
4.9
24 reviews
Reviews 97
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Average Rating 4.2
Reviews 1
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Average Rating 5.0
Reviews 2
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Average Rating 4.0
5
I think this is a great lecture for beginners to learn R. Compared to other lectures, this lecture seems to provide a solid foundation, so I think it will be very helpful for beginners like me who are learning R for the first time.
Thank you so very much^^
Free
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