Statistics, it's hard just to listen to them, right?

When most people think of the word statistics, they think it's a difficult and hard field.

When I first studied statistics, I didn't understand the concepts very well, and it was just difficult.

What I actually felt after taking all the classes taught in the Department of Statistics was that it was still difficult to understand.

The reason I have no choice but to think so Differences in approachI think it might be.

I thought about how to make it more intuitive and easy to understand, and eventually I found my own method.

✅ The explanation starts with a simple example, and the concepts are visible!

We will teach you statistical theory that you can see and touch with your own eyes through visualization.

✅ We will make it easy for you to experience Guna, which is used a lot in real life, not just in learning.

I confidently recommend my class to these people

Those who have just started studying statistics and feel frustrated by complicated and difficult to understand concepts
Those who want to learn basic statistical knowledge in order to efficiently handle data and extract insights
Those who want to understand the basic background knowledge and context of statistics to establish a solid foundation for future studies
People who don't understand well even after taking school classes

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Learn wisely and completely conquer basic statistics!

This class has been carefully designed so that you can earn 3 points after taking the course.

✔ Fundamental understanding of statistical indicators learned from basic statistics

✔ Theoretical foundations underpinning statistical tests

✔ Confidence that I can do statistics

Statistics that weren't fun, we'll make it fun.

If you study the concepts of statistics step by step with me, I think statistics will become a really interesting subject at some point.

Let's have fun studying together! :)

Hello, it's a wise statistical life.

I want to share what I learned and realized while studying statistics with all of you who are walking the path I have walked.

I hope it will be a useful course that will solve some people's questions.

Also, for those who are walking my old path, I hope that my first steps will be a little comforting.:)

YouTube 'A wise statistical life'In operation

Ph.D. Program in Statistics & Actuarial Science, The University of Iowa

Master of Actuarial Science, Sungkyunkwan University

BA in Statistics and Industrial Engineering, Sungkyunkwan University

🧑‍🏫I'll learn step by step in class!

STEP 1. Understanding random variables

Many statistics courses explain the concept of random variables quite late.

This is because random variables need to be defined and explained because they must be treated mathematically strictly. In this class, we first learn about random variables.

확률 변수에 대한 이해

STEP 2. Understanding statistical visualization

Learn how to visualize statistical data. You will learn histograms, stem-leaf plots, and scatterplots.

히스토그램, 줄기-잎 그림, 산점도

STEP 3. Understanding statistical indicators

Learned earlier Learn what tools are used to deal with random variables in statistics. You will learn mean and median, standard deviation and variance, and IQR.

STEP 4. Characteristics of random variables

Learn tools that show the characteristics of random variables. Learn the concepts of probability mass function, probability density function, and expected value. Also, Learn the distribution of sample averages and the central limit limit, which many people find difficult.

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STEP 5. Statistical estimation

Learn how parameters can be estimated statistically using what you learned in Chapter 4. Implement and understand the meaning of the confidence interval directly using Excel.

통계적 추정

STEP 6. Statistical tests

It lays the basic theoretical foundation for statistical tests using the distribution of sample averages.

Learn about tests for population mean and parent ratio. Familiarize yourself with the concepts of test statistics and p-value, and understand what it means to be statistically significant.

Complete basic statistical theory that you can see and feel

Complete basic statistical theory that you can see and feel