First steps in data analysis with R - from basic grammar to data mining practice

Name: First steps in data analysis with R - from basic grammar to data mining practice
Price: 74250 KRW
Rating: 4.9 (8 reviews)

This course is designed so that even those who are unfamiliar with statistics or are not confident in statistics can easily perform data analysis using R. Understand the basic grammar and data structure of R that can be easily overlooked, and develop your data analysis skills through various examples and practice!

(4.9) 8 reviews

108 learners

Level Beginner

Course period Unlimited

Masocampus

ADsP

Reviews from Early Learners

4.9

5.0

안나푸르난

100% enrolled

It was so great to be able to improve my overall understanding of R during the Chuseok holiday. If there are beginner/intermediate level courses available, I would like to take them as well.

5.0

jyeun

100% enrolled

Good!

5.0

이현우

100% enrolled

Easy, comfortable listening.^^

What you will gain after the course

Learn everything from the basics of R to statistical techniques to gain insights from your data.
Easy to understand even for non-specialists
Analyze various datasets and interpret results based on various examples and practices.
Repeatable practice with code provided for all examples

Data analysis, more powerful and convenient!
Take your first steps into R data analysis.

Complex data analysis,
Is Excel alone really enough?

🤔 When analyzing detailed datasets such as MLB and KBO professional baseball batter data for various purposes
😵 When you need powerful data visualization & data mining using large amounts of data

👉 Now is the time to replace Excel with the professional data analysis tool "R"!

Are you familiar with the data analysis tool R? Excel is a great tool for quick and easy data analysis, but it has some shortcomings in terms of data processing capacity and connectivity with other systems.

But what if you leverage R? R has the following features:

Open source language that anyone can use for free
Can be implemented on various operating systems
Can be linked with many programs
A variety of packages available
Powerful data visualization capabilities

Therefore, if you utilize R well, you can overcome the limitations of Excel and utilize statistical functions and data visualization more easily.

Maso Campus suggests
First steps in R data analysis!

data,
Solid from the basics

This introductory course on data analysis using R begins with the fundamentals of data structures used in R. This course covers the fundamentals of data analysis, including data structures, through hands-on practice, helping even R beginners gain a solid understanding of data structures.

For data analysis
Essential statistical knowledge

Statistical knowledge is crucial for data analysis. However, mastering complex and complex statistical knowledge in a short period of time is extremely difficult. This course provides a simple explanation of the minimum statistical knowledge required for basic data analysis, accessible even to non-majors. Data analysis based on basic statistical knowledge will allow you to further enhance your analysis.

✅ Maso Campus' "First Steps in Data Analysis with R" course!

This course is recommended for those who want to quickly process and visualize massive amounts of data and who want to gain a quick and accurate understanding of R. This course is especially recommended for those preparing for the Advanced Data Analytics Semi-Professional (ADsP) certification exam, where you can thoroughly prepare for the challenging third subject through hands-on practice.

I recommend this to these people

👉 Those who are interested in data analysis but don't know how to start
👉 Those who want to easily acquire basic statistical knowledge in a short period of time
👉 For those who want to quickly process and visualize large amounts of data.
👉 Those who want to create reports that convey information in an attractive way and use them in presentations
👉 Those preparing to obtain the nationally recognized data analysis certification ADP/ADsP

The curriculum
Check it out 📖

💡 R is a programming language used for statistical computing, data analysis, and data visualization . It offers a variety of packages (sets of functions) that enable simple yet detailed data analysis. Starting with statistical analysis, it has now become a fundamental analytical tool, encompassing machine learning and data visualization.

R is also one of the easiest programming languages to learn. However, if you're new to programming, you might worry about whether you can write code. However, if you can master some basic R syntax, even beginners can easily perform data analysis without having to write complex code.

_{Visualize your data easily and analyze it at a glance.}

_{Performing hypothesis testing to help make rational decisions}

_{Understand correlation coefficients numerically and visually at once.}

_{Coding is easier and analysis is more accurate with package application!}

Created this course
Knowledge sharer is 👩‍🏫

Check out the Q&A! 💬

Q. I'm a complete beginner with no experience with coding or programming. Can I still take this course?

Yes! You can take this course. The instructor will guide you step-by-step, from installing the R program to learning programming techniques. The provided source code allows you to easily follow along.

Q. Can I take this course even if I don't have any knowledge of statistics?

Of course. This course covers not only R programming but also the basic statistical knowledge necessary for data analysis, making it easy for even non-data analysis or statistics majors to learn R programming and apply it to their analysis.

Q. Do I need to purchase a separate license to use R?

Packages that enable the use of R programs and add-ons are available for free download.

📢 Please check before taking the class!

Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture and practice screens.
This course will be conducted on a Windows OS. We recommend taking the course in a Windows environment.
Lecture notes and practice files are available in the 12. Textbook Download section.

Recommended for
these people

Who is this course right for?

People who are interested in data analysis but don't know how to start
For those who want to easily acquire basic statistical knowledge in a short period of time
For those who want to quickly process and visualize large amounts of data.
For those who want to create reports that convey information in a visually appealing way and use them in presentations.

Need to know before starting?

Knowledge of R is helpful, but not required.
No prior knowledge of data analysis is required.

Hello
This is Masocampus

14,336

Learners

2,206

Reviews

169

Answers

4.7

Rating

123

Courses

"I will grow more than I did yesterday. And I will help those who strive to grow more than they did yesterday."

With Masocampus’s sincerity and aspirations in Actionable Content,, thông qua Nội dung có tính ứng dụng,

Since 2013, 100 million cumulative hours of courses delivered both online and offline together!

This invaluable experience and time are always the source of growth for both Masocampus and its students.

The Masocampus team always adheres to two principles for everyone’s growth.

1. Actionable Content you can definitely use after learning mà chắc chắn bạn có thể sử dụng sau khi học

2. Time-Saving Curriculum that respects participants’ time and effort tôn trọng thời gian và công sức của người tham gia

We hope you will join us on the path to growth with Maso Campus’s Actionable and Time-Saving Curriculum.

Curriculum

All

51 lectures ∙ (14hr 10min)

Course Materials:

Lecture resources

Section 1. 00. Install R and R Studio

2 lectures ∙ (36min)

1. R001 – R Programming Intro
01:50
2. R002 – R Programming Installation
34:58

Section 2. 01. R Basic Grammar

4 lectures ∙ (1hr 24min)

3. R101 – R basic grammar and data structure theory
23:15
4. R102 – R basic grammar and data structure practice (1)
31:28
5. R103 – R basic grammar and data structure practice (2)
17:57
6. R104 – R basic grammar and data structure operators
11:35

Section 3. 02. R data structure

10 lectures ∙ (2hr 49min)

7. R201 – R’s Data Structure 1 – Vector Theory
12:02
8. R202 – R’s Data Structure 1 – Vector Practice
22:59
9. R203 – R’s Data Structure 1 – Vector Theory 2
17:33
10. R204 – R’s Data Structure 1 – Vector Practice 2
17:15
11. R205 – R’s Data Structure 1 – Vector Practice 3
31:28
12. R206 – Data Structures in R 2 – Matrix Theory and Practice
22:09
13. R207 – Data Structures in R 3 – Array Theory and Practice
04:58
14. R208 – Data Structures in R 4 – List Theory and Practice
09:35
15. R209 – R’s Data Structure 5 – Data Frame Theory
05:01
16. R210 – R’s Data Structure 5 – Data Frame Practice
26:06

Section 4. 03. Control statements, functions, packages

8 lectures ∙ (1hr 35min)

Section 5. 04. Visualization of single variable data

2 lectures ∙ (33min)

Section 6. 05. Visualization of multivariable data

1 lectures ∙ (17min)

Section 7. 06. Data cleaning

1 lectures ∙ (24min)

Section 8. 07. Descriptive statistics, inferential statistics

9 lectures ∙ (2hr 13min)

Section 9. 08. Correlation analysis and correlation coefficient

3 lectures ∙ (46min)

Section 10. 09. Regression Analysis

4 lectures ∙ (1hr 35min)

Section 11. 10. Multivariate analysis

1 lectures ∙ (17min)

Section 12. 11. Structured Data Mining

4 lectures ∙ (1hr 36min)

Section 13. 12. Textbook Download Center

2 lectures

Published: 09/26/2022

Last updated: 08/19/2025

Reviews

All

8 reviews

4.9

8 reviews

yupka
Reviews 1
∙
Average Rating 5.0
08/11/2025
5
100% enrolled
Good!
- masocampus
  Instructor
  09/02/2025
  Thank you for leaving a review😊 We will always be a MasoCampus that does our best!
wsjung4896
Reviews 4
∙
Average Rating 5.0
06/25/2024
5
31% enrolled
Thanks for the break lecture and explanation.
- masocampus
  Instructor
  06/27/2024
  Thank you! We have worked hard to make it so that you can understand the content well. We will continue to explain it in detail in the future!
ses31066976
Reviews 1
∙
Average Rating 5.0
07/15/2023
5
100% enrolled
It was very helpful~
- masocampus
  Instructor
  07/16/2023
  I'm so glad it helped! Thank you. 😊
hw1lee2238
Reviews 2
∙
Average Rating 5.0
07/09/2025
Edited
5
100% enrolled
Easy, comfortable listening.^^
- masocampus
  Instructor
  07/11/2025
  I'm truly glad the lecture was well received! Thank you. 😊
ehdfla3212272
Reviews 1
∙
Average Rating 5.0
10/03/2025
Edited
5
100% enrolled
It was so great to be able to improve my overall understanding of R during the Chuseok holiday. If there are beginner/intermediate level courses available, I would like to take them as well.
- masocampus
  Instructor
  10/22/2025
  Thank you for leaving a course review! I'm so happy to hear that it was helpful! Thank you 😊

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First steps in data analysis with R - from basic grammar to data mining practice

4.9

What you will gain after the course

Complex data analysis, Is Excel alone really enough?

Maso Campus suggests First steps in R data analysis!

data, Solid from the basics

For data analysis Essential statistical knowledge

✅ Maso Campus' "First Steps in Data Analysis with R" course!

The curriculum Check it out 📖

Created this course Knowledge sharer is 👩‍🏫

Check out the Q&A! 💬

Recommended for these people

HelloThis is Masocampus

Curriculum

Reviews

Masocampus's other courses

Similar courses

Complex data analysis,
Is Excel alone really enough?

Maso Campus suggests
First steps in R data analysis!

data,
Solid from the basics

For data analysis
Essential statistical knowledge

The curriculum
Check it out 📖

Created this course
Knowledge sharer is 👩‍🏫

Recommended for
these people

Hello
This is Masocampus