Introduction to Data Analysis

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

(5.0) 11 reviews

427 learners

Level Basic

Course period Unlimited

Python
Python
Pandas
Pandas
Web Scraping
Web Scraping
Python
Python
Pandas
Pandas
Web Scraping
Web Scraping
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Reviews from Early Learners

Reviews from Early Learners

5.0

5.0

jujufather

33% enrolled

Explains things in an easy-to-understand way

5.0

yearnsyj

100% enrolled

The lecture was example-based and taught while running code, which helped me a lot in understanding the lecture content.

5.0

똘똘이스머프

100% enrolled

Thank you for your valuable lecture. Stay healthy always.

What you will gain after the course

  • Python

  • Pandas

  • Data Analysis

Introduction to Data Analysis

- Introduction to Data Analysis


Instructor - Professor Kyung-min Kim (Pusan National University AI Convergence Education Center)


🎯 Course Objectives

  1. Collect data through public data sources and web scraping, refine it, and analyze the data through Exploratory Data Analysis (EDA).


🎯 Course Overview

  1. Understand basic Python data types and Pandas DataFrames, then collect, process, visualize, and analyze data.

  2. Recommended Prerequisite: Understanding Data Literacy

The data analysis source files have been uploaded to the course materials.

Recommended for
these people

Who is this course right for?

  • Those who want to learn web scraping

  • Those who want to handle analytical data with Python

  • Those who want to handle analytical data with Pandas

Hello
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11 reviews

5.0

11 reviews

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          • jujufather3152님의 프로필 이미지
            jujufather3152

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            Average Rating 4.8

            5

            33% enrolled

            Explains things in an easy-to-understand way

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