Class introduction

This course The basic of Python's basicsThis is a class for learning. Because it covers not only Python installation, but also understanding estimation and hypothesis testing, which are essential for statistical analysis I recommend it to classmates who are studying Python for the first time.

Also, after clarifying the concepts between data and analysis for the application of data analysis, basic statistics, cross-analysis, t-test and variance analysis, reliability analysis and factor analysis, correlation and regression analysis

You'll learn the essentials of data analysis.

Looking at the terminology, it may seem difficult, but 20 years of practical experts will help you start studying Python in a simple and easy way without formulas!

Course effect

• You can understand basic data handling processes such as Python installation, data types, conditional statements, and loops.
• You can easily perform the entire process, including Numpy functions, basic Pandas functions, and converting data to Pandas.
• You can directly perform processes such as searching for univariate data & bivariate data, processing of outliers, variable conversion, and processing of missing values.
• Through the data refinement process, it is possible to derive the optimal model with the highest predictive power.

Class recommendation target

• Those who are just starting Python
• Those who need to check if Python is right for them
• Those who want to perform data analysis work in a company/organization using Python
• Those who want to master the core concepts of Python

3 reasons why this class is special

① Introductory lectures taught by data analysis experts with more than 20 years of experience

② Content that can be easily understood using a method of understanding rather than a formula

③ You can acquire basic knowledge to help you understand the next steps of text mining, deep learning, and machine learning

Student reviews