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[Give me R] R grammar basics

This is a course to learn R, one of the essential languages for starting data analysis. It is easy enough for even beginners to follow, so you can follow along without any worries.

(4.7) 24 reviews

349 learners

  • datadoctor
R

Reviews from Early Learners

1. Lecture Introduction

This is a course to learn 'R Basics', one of the essential languages to choose to start data analysis. It is easy enough for even beginners to learn programming languages, so you can follow along without any burden. After this course, various curricula such as R intermediate/advanced, visualization beginner/intermediate/advanced, statistics, machine learning, web app development, etc. will be prepared, so lay the foundation here!

What is R?

Starting from statistical analysis, machine learning, deep learning, data visualization, database linking, web app development, etc., it is one of the essential languages in data analysis. It has the advantage of not only having easy grammar but also being able to easily implement and distribute almost all algorithms through packages. In the United States, it is already being taught as a basic subject not only in data analysis-related majors but also in various humanities major tracks such as business, economics, and psychology. If you are already wondering which course to take next, please refer to the curriculum image below! As of now, the courses below have been updated :)

2. Helpful people

R programming, which is essential for majors in statistics and data analysis . It is useless to use other tools. You must use R. Start now. Marketers and growth hackers Are you still using only Excel? Get out of the frame of bar graphs and pivot tables. A wider world awaits you.

3. Course Features

The beginning of the R data utilization curriculum!!

In the future, various courses using R will be uploaded to Inflearn. R Basics > R Visualization > R Advanced Visualization R Basics > R Intermediate > R Advanced, etc. This is the course that will be the starting point for all curricula.

4. Instructor Introduction

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Who is this course right for?

  • Dobby

  • People who are new to coding

  • consultant

  • HR Manager

  • marketer

  • graduate student

  • undergraduate

Hello
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1,230

Learners

65

Reviews

63

Answers

4.8

Rating

4

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주로 삼성 그룹사 데이터분석 강의 출강합니다.

누적 기업/대학 강의시간 7천시간 이상. (2024.12 기준)

 

contact@rloha.io

Curriculum

All

15 lectures ∙ (3hr 31min)

Published: 
Last updated: 

Reviews

All

24 reviews

4.7

24 reviews

  • thsdl882818님의 프로필 이미지
    thsdl882818

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    Please explain it so I can understand it well.

    • styeo1799님의 프로필 이미지
      styeo1799

      Reviews 7

      Average Rating 4.7

      5

      100% enrolled

      thank you

      • thkim1740님의 프로필 이미지
        thkim1740

        Reviews 2

        Average Rating 4.0

        4

        100% enrolled

        It was a helpful lecture.

        • yhkim201643님의 프로필 이미지
          yhkim201643

          Reviews 1

          Average Rating 5.0

          5

          100% enrolled

          thank you

          • dongni660님의 프로필 이미지
            dongni660

            Reviews 10

            Average Rating 5.0

            5

            100% enrolled

            I like to cover the essential R fundamentals in a short period of time! The explanations are also clear.

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