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[저자직강]실무 예제로 끝내는 R 데이터 분석
정준영
데이터 분석가를 위해 준비한 "실무 예제 기반 데이터 분석" 강의입니다.
초급
R
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
All
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
R을 아예 처음 다루는 사람에게 도움이 될만한 아주 기초적인 영상입니다. 하지만 말에 사족이 너무 많으세요.. 강의는 짧은데 사족이 많이 붙다보니 핵심은 아주 짧게, 배경은 아주 늘어지게 설명을 듣는 느낌입니다. 또한 이 강의를 들으러 오는 사람들은 R이라는 언어에 주안해서 학습을 하러 온 사람들이라 생각됩니다. 그런데 너무 배경이나 자잘한 설명이 많아서 정작 학습에 도움이 되는 내용은 두루뭉실하게 겉만 핥는 것 같네요. 조금 더 알맹이에 집중한, 정말 R과 친해질 수 있는 컨텐츠를 기대해봅니다..! 강의 잘 들었습니다.
감사합니다 ! 이후에는 조금 더 도움이 되는 내용 다뤄볼 수 있도록 하겠습니다
Reviews 1
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Average Rating 5.0
Reviews 868
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Average Rating 5.0
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