I'm a liberal arts major, but I really wanted to try data analysis with Python, so I applied. I applied because I just wanted to follow along and get a feel for it, but the content is more systematic than I thought, so I like it!

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There was a rumor that Ediya would open a store near Starbucks. How different would the locations of Ediya and Starbucks be? 
Will the real estate price fluctuation trend from 2013 to 2019 be reflected in the apartment sales price? 
What kind of parks are there in my neighborhood? How can I utilize the data in the public data portal? The goal is to become familiar with Python and various data analysis libraries by handling various types of data through public data.

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인프런 10주년! 사랑주간 전체 할인

Getting started with Python data analysis using public data

입문

초급

중급이상

파이썬

Python

판다스

Pandas

넘파이

Numpy

Preparing for data analysis

Chapter 1. Analysis of new private apartment sales prices nationwide

Chapter 2. Learning technical statistics using commercial (commercial) information

Chapter 3. Franchise Entry Analysis

Chapter 4. Comparing Starbucks and Ediya store locations

Chapter 5. Trying out various preprocessing with national urban park data

supplement