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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

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1,252

Learners

66

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

  • thsdl88님의 프로필 이미지
    thsdl88

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    잘 이해되게 설명해주세요

    • 여승태님의 프로필 이미지
      여승태

      Reviews 8

      Average Rating 4.8

      5

      100% enrolled

      감사합니다.

      • thkim님의 프로필 이미지
        thkim

        Reviews 2

        Average Rating 4.0

        4

        100% enrolled

        도움되는 강의였습니다.

        • yhkim20님의 프로필 이미지
          yhkim20

          Reviews 1

          Average Rating 5.0

          5

          100% enrolled

          감사합니다.

          • rlaehdls66님의 프로필 이미지
            rlaehdls66

            Reviews 10

            Average Rating 5.0

            5

            100% enrolled

            빠른 시간 내에 필수적인 R 기본을 다지기 좋아요! 설명도 명쾌합니다

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