
Getting started with R data analysis
Junhee Kang
Easy and fun, with practical examples! This is a 7-day R data analysis roadmap lecture based on the contents of the book 『Getting Started with R Data Analysis』 (Hanbit Media).
入門
R, ggplot2
Learn the minimum knowledge required to analyze data with R.

Data Analysis Flow (tidyverse)
Data collection (googlesheets4)
Data preprocessing (dplyr)
Data visualization (ggplot)
Data Analysis, from the reasons for using R to the flow!
I will teach you the minimum knowledge in an easy and concise manner.
“R is good, Python is good, SQL is good...”
I want to leverage data in my work, but there are so many stories out there.
This is because what needs to be done varies depending on each person, organization, and situation.
That's why this course is designed to be a minimal first step in learning how to use R with data from the perspective of "this is what you can do" rather than providing the right answers.
After taking this lecture,
You will practice thinking about your back.
In this course, you will learn data analysis in R.
However, rather than focusing on the content covered in other great lectures, I actually refined it as much as I could remember from the trials and errors I made while working and thought , "Oh, if I had known this in advance, I would have suffered less."
In the word data
Interested in
Everyone
Startup first
Data Analyst &
PM/PO
In Google Sheets or Excel
data
The person who is building it
To be used at the company
R for the purpose
Those who want to learn
Since it doesn't require any advanced player knowledge, (if you can turn on Google)
I think it will be helpful to everyone.
However, I think it would be especially effective for non-developers who are interested in the word 'data'.
The lecture is divided into two main parts.
This section covers questions like , "Why use R?" , "What does data analysis mean, and why should I do it?", and for those who are interested in the above questions , "What are the flow and examples of data analysis?"
In my personal experience, I find that studying where I have to work my brain hard is more effective than studying where I'm well-prepared and can just "eat my way through." That's why I won't be covering these three things in this course.
Not just in R, but in many everyday situations, there's no single way to solve a problem. So, I thought that if I were to provide some sort of "correct" solution, people might misunderstand that this is the correct way to solve a problem, even though there might be a better solution.
Additionally, I feel it's odd for me to repeat information that's readily available on good blogs online, so I try to avoid providing further explanation unless absolutely necessary.
• This course is based on September 2022 .
(It's not a huge deal, but programming languages can change a little bit over time in how they're used.)
• There are two reasons why I made this course free.
• Questions and feedback are always welcome.
Who is this course right for?
Startup's first data analyst
A person who is stacking data in Google Sheets
PM/PO who needs to see the data
People who want to learn R for company use
Need to know before starting?
How to google
Basic R Grammar
438
Learners
4
Reviews
4.5
Rating
2
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8 lectures ∙ (1hr 25min)
Course Materials:
1. Money
07:48
2. Data
08:06
3. Analysis
07:51
4. basic R
10:00
5. googlesheets4
13:13
6. dplyr
19:18
7. ggplot2
12:41
8. ETC
07:02
All
4 reviews
4.5
4 reviews
Reviews 97
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Average Rating 4.2
Reviews 1
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Average Rating 3.0
3
This is a very basic video that will be helpful to someone who is completely new to R. However, there are too many unnecessary comments. The lecture is short, but there are so many unnecessary comments that it feels like I'm listening to a very short explanation of the core and a very long explanation of the background. Also, I think the people who come to listen to this lecture are people who come to learn with an emphasis on the R language. However, there are so many background and detailed explanations that the content that is actually helpful for learning seems to be just a superficial overview. I hope for more content that focuses on the core and really helps me get to know R..! I enjoyed the lecture.
Thank you! I will try to cover more helpful content in the future.
Reviews 1
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Average Rating 5.0
Reviews 868
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Average Rating 5.0
Free
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