For those of you who are having a hard time with college statistics, a senior who was in the same position will share his know-how. Conquering basic statistics using R programming
Building a foundation in statistics
Conquering R Programming
I think this course is the best for those who have taken statistics in college and been frustrated.
I think even those who are hearing statistics for the first time will gain a lot from it.
Since this is a class that uses the R statistical program, I think it will probably take some time to cover both statistics and programming.
This course is a statistics class, not a programming class. Therefore, the programming knowledge taught will be very basic, or only those essential to quickly grasp. I'll consider R -related courses later.
As someone who has studied and enjoyed statistics for a long time, I've created this course to help, given the lack of good statistical resources available online in Korean. I hope my lectures will be helpful to even those unfamiliar with statistics.
Anyone can learn anything. This is both my homepage motto and my motto. While studying statistics, or studying in general, you'll often find yourself frustrated by things you don't understand. Don't beat yourself up. It's not because you're stupid or lacking in study skills; it's more likely because you haven't followed the right study routine. Instead of thinking you can't do it, try to identify the gaps in your studies and work to fill them. I wish you the best of luck.
https://www.theissaclee.com/ko/courses/rstat101/
• Which way is it tilted, left or right?
• Which line is chosen for the regression line?
• Check the regression line optimization results
I'd like to share what I've learned and realized while studying statistics with those of you who are following my path. I hope this lecture will be a helpful resource, answering some of your questions. I also hope that for those who are following my path, I hope my footsteps will offer some comfort.
History
Academic background
Who is this course right for?
Freshman in Statistics
For those who are new to R programming
7,081
Learners
169
Reviews
42
Answers
4.8
Rating
5
Courses
통계를 공부하면서 제가 배운것들, 깨닫게 된 것들을 제가 걸어왔던 길을 걷고 있는 여러분께 공유하고자 합니다. 몇몇 사람들에게는 궁금증이 해소되는 유익한 강의가 되기를 바랍니다. 또한, 예전의 저의 길을 걷고 있는 분들에게는 먼저 걸어간 저의 자취가 조금이나마 위로가 되었으면 좋겠습니다.
이삭 드림.
슬기로운통계생활 대표
The university of Iowa, Statistics & Actuarial science 박사과정 (ABD)
성균관대학교 보험계리학 석사
성균관대학교 통계, 산업공학 학사
유튜브 채널: 슬기로운통계생활
All
46 lectures ∙ (15hr 44min)
5. About Pie Chart
18:23
7. About histogram
08:30
8. About box plot
08:37
All
69 reviews
4.9
69 reviews
Reviews 1
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Average Rating 5.0
5
This is a great introductory lecture before starting R!! Other R lectures don't teach you knowledge of statistics, but this lecture teaches R and statistics together. If you want to catch two rabbits, R and statistics, I recommend taking this lecture first!!
Thank you! Sorry for the late reply. Haha. Thank you for listening to the end. Have a nice day. :)
Reviews 4
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Average Rating 5.0
5
I took the lecture with a little basic knowledge of R and no basic knowledge of statistics, but the lecturer first explained statistical calculation formulas step by step, then explained how to implement them by converting them into codes in R, and finally explained the order of functions that can be used in R, so I was able to learn the basic concepts of statistics and statistics using R at the same time. As the subtitle of Part (1) suggests, it seems like there is still a long way to go, but I am sad that the lecture is over. I hope to continue studying Parts (2)(3) in the future so that I can someday use R and statistical analysis in my thesis. I would like to thank the lecturer for providing such a high-quality lecture for free. Thanks to him, I learned a lot! (Oh, by the way, could you add video explanations to the regression analysis practice and multiple regression analysis sections of the blog?)
Reviews 25
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Average Rating 4.8
5
It helped me a lot.
I'm glad you found it helpful! Thank you for listening! :)
Reviews 3
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Average Rating 4.7
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Average Rating 3.0
3
I would like to introduce the differences and points of the stem leaf and other charts. Also, when and in what cases to use which chart. Thank you.
I think the visualization part was lacking. I am thinking of making a separate lecture on visualization later, and I will definitely add the part you mentioned! Thank you for your feedback!
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