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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

412 learners

  • jhk0530
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What you will gain after the course

  • 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
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Learners

4

Reviews

4.5

Rating

2

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Curriculum

All

8 lectures ∙ (1hr 25min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

4 reviews

4.5

4 reviews

  • sdjang6221님의 프로필 이미지
    sdjang6221

    Reviews 97

    Average Rating 4.2

    5

    38% enrolled

    • kwaksoomin7065님의 프로필 이미지
      kwaksoomin7065

      Reviews 1

      Average Rating 3.0

      3

      100% enrolled

      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.

      • jhk0530
        Instructor

        Thank you! I will try to cover more helpful content in the future.

    • mijin89178129님의 프로필 이미지
      mijin89178129

      Reviews 1

      Average Rating 5.0

      5

      100% enrolled

      It was very helpful. I burst out laughing at the honesty of the fact that it was for making a lot of money. Thank you for giving me the opportunity to listen to such an easy and informative lecture for free. I hope you always make a lot of money!

      • hyongsu44님의 프로필 이미지
        hyongsu44

        Reviews 868

        Average Rating 5.0

        5

        100% enrolled

        Thank you for the lecture. I think I have a good understanding of the basics of data science.

        Free

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