The Ultimate Guide to Design Automation: Mastering Canva AI Generative Design
Masocampus
The era of creating designs one by one is over. Experience the speed of turning "thoughts" into "results" with Canva AI.
Beginner
AI, canva, Generative AI
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
5.0
안나푸르난
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
Good!
5.0
이현우
Easy, comfortable listening.^^
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.
🤔 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:
Therefore, if you utilize R well, you can overcome the limitations of Excel and utilize statistical functions and data visualization more easily.
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.
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.
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
💡 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!
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!
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.
9,420
Learners
1,337
Reviews
114
Answers
4.7
Rating
99
Courses
"I will grow more than yesterday. And, I will help those who strive to grow more than yesterday."
With Actionable Content that embodies the sincerity and aspirations of Maso Campus,
100 million cumulative hours of lectures shared online and offline since 2013!
This precious experience and time are always the source of growth for both Maso Campus and our students.
The Miso Campus team strictly adheres to two principles for the growth of us all. 1. Actionable Content that can be put into practice immediately after learning. 2. Respecting the time and effort of participants.
The Miso Campus team strictly adheres to two principles for the growth of us all.
1. Actionable Content that you can actually use after learning 2. Time-Saving Curriculum that respects the participant's time and effort Grow with Miso Campus's Actionable and Time-Saving Curriculum
1. Actionable Content that you can surely use once you learn it
2. Time-Saving Curriculum that respects the time and effort of participants
We hope you will walk the path of growth together with Masocampus's Actionable and Time-Saving Curriculum.
We hope you will walk the path of growth together with Maso Campus's Actionable and Time-Saving Curriculum.
All
51 lectures ∙ (14hr 10min)
Course Materials:
All
7 reviews
4.9
7 reviews
Reviews 1
∙
Average Rating 5.0
Edited
5
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.
Thank you for leaving a course review! I'm so happy to hear that it was helpful! Thank you 😊
Reviews 1
∙
Average Rating 5.0
5
Good!
Thank you for leaving a review😊 We will always be a MasoCampus that does our best!
Reviews 1
∙
Average Rating 5.0
Edited
5
Easy, comfortable listening.^^
I'm truly glad the lecture was well received! Thank you. 😊
Reviews 3
∙
Average Rating 5.0
5
Thank you for leaving a review 😊 It's rewarding to see that my hard work paid off. Maso Campus will always do its best!
Reviews 4
∙
Average Rating 5.0
5
Thanks for the break lecture and explanation.
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!
$77.00
Check out other courses by the instructor!
Explore other courses in the same field!