AI 에이전트 입문 치트키, Claude MCP로 끝내는 업무 자동화
Masocampus
AI가 내 Slack, Notion에 대신 글을 써준다고? 기존 AI의 한계를 뛰어넘은 MCP로 똑똑하게 일하세요!
입문
MCP, AI Agent, AI 활용 (AX)
First steps in data analysis with R - from basic grammar to data mining practice
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!
Reviews from Early Learners
What you will learn!
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.
7,073
Learners
867
Reviews
96
Answers
4.7
Rating
86
Courses
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Curriculum
All
51 lectures ∙ (14hr 10min)
Course Materials:
Lecture resources
Published:
Last updated:
Reviews
All
6 reviews
4.8
6 reviews
$77.00
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