Học cách trực quan hóa dữ liệu R với các ví dụ về biểu đồ phân tán

Statistics learned in school, was it too hard to understand? No matter how much you listened to the explanation, statistics were confusing, but we will help you understand them. If you implement them one by one by hand using Excel, you will understand statistical concepts that you didn't understand! A new experience that makes boring statistics fun! We will give you a gift. :)

For those of you who are having a hard time with college statistics, a senior who was in the same position will share his know-how. Conquering basic statistics using R programming

You can build the basic stamina to leave work on time by automating report writing.

The easiest explanation of R-based data visualization📊. (Almost) everything you need to know😎. At the end, we will plot COVID-19 💉vaccine vaccination data on a map🗺️!

The way we deal with data is better approached through our visual perception than through the sense of what is more beautiful. So, it is more advantageous to understand the perceptual characteristics of data visualization than to notice them through human preferences. Therefore, through this lecture, we aim to build data analysis and graphic communication suitable for practice.

We cover frequently used functions for R programming, how to write code efficiently, and intermediate techniques.

It covers basic data concepts, useful R functions and packages, and data analysis exercises, to allow anyone to perform big data analysis using R programming.

Master the Big Data Analysis Engineer certification, an essential but never easy-to-self-study credential, in a short period by utilizing R, an easy-to-learn data analysis tool!!

This course covers the basics of R programming for those who have no knowledge of R programming.