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Data Science

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Data Analysis

minimal R - Minimum knowledge for data analysis

Learn the minimum knowledge required to analyze data with R.

(4.5) 4 reviews

391 learners

  • jhk0530
데이터분석
데이터분석가
R
ggplot2
Thumbnail

What you will learn!

  • 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 data analysis
Why and how do you do it?

“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,

  • Whether I am in a situation where I can use R (or if something else is more important)
  • If I were to write, what would I do and how would I do it?
  • And why should we do this?

You will practice thinking about your back.


Interested in data
Anyone is fine.

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'.


Composition and Features

The lecture is divided into two main parts.

Lecture Structure

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?"

Lecture Features

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.

etc

• 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.

  1. I thought, 'Wouldn't this lecture, filled with my trial and error, be helpful to at least one person?'
  2. I hope more people use R, so that R conferences other than PYCON can be bustling with people... 😊

Questions and feedback are always welcome.

Recommended for
these people

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

Hello
This is

391

Learners

4

Reviews

4.5

Rating

1

Course

Curriculum

All

8 lectures ∙ (1hr 25min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

4 reviews

4.5

4 reviews

  • 장성덕님의 프로필 이미지
    장성덕

    Reviews 97

    Average Rating 4.2

    5

    38% enrolled

    • kwaksoomin님의 프로필 이미지
      kwaksoomin

      Reviews 1

      Average Rating 3.0

      3

      100% enrolled

      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.

      • 애옹킴
        Instructor

        감사합니다 ! 이후에는 조금 더 도움이 되는 내용 다뤄볼 수 있도록 하겠습니다

    • 문미진님의 프로필 이미지
      문미진

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      도움이 많이 되었습니다. 돈을 많이 벌기 위해서, 라는 솔직함에 빵 터졌네요. 쉽고 유익한 강의 공짜로 듣게해 주셔서 감사합니다. 늘 돈 많이 버시길요!

      • 똘똘이스머프님의 프로필 이미지
        똘똘이스머프

        Reviews 868

        Average Rating 5.0

        5

        100% enrolled

        강의 감사드립니다. 데이터 사이언스의 기초적인 부분에 대해 잘 이해한 것 같습니다.

        Free

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