Data Science Project with Python & Beautiful Soup [Collect/Scrape - Clean - Analyze Data] - Part 3

3 Main Topics will be covered:

🎯 Data Extraction/ Web Scraping (Part 1)
🎯 Data Cleaning (Part 2)
🎯 Data Analysis (Part 3)

We start with the extraction of Real Estate Data from 10 different cities/states. Once we have collected all the necessary data, the datasets will be merged to one dataset. Then the cleaning process with the Pandas Library will start. The goal is to make the data database readable and modifying/ manipulating the data. Once our data is cleaned, we start with the Data Analysis part. That means we will answer 10 different questions, based on our extracted and cleaned dataset. To be able to answer the 10 questions, we make use of the Pandas Dataframe, PostgreSQL and Matplotlib. You will get to know different approaches to how answer real life questions based your own created dataset.
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⏰ TIME STAMPS ⏰
00:00 Data Analysis Section - Overview
01:51 Imports & Output Data (Pandas/PostgreSQL)
15:44 Question 1
22:16 Question 2
32:40 Question 3
39:30 Question 4
46:02 Question 5
49:18 Question 6
59:23 Question 7
01:06:28 Question 8
01:11:54 Question 9
01:23:59 Question 10

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✖️ E-Mail✖️
✔️ [email protected]

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✔️ Alexander Schlee ➜ https://www.linkedin.com/in/alexander-schlee-331451147/

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✔️ alex_schlee_ ➜ https://www.instagram.com/alex_schlee_/

✖️ UDEMY COURSES ✖️
✔️ https://www.udemy.com/user/alexander-schlee-42/

✖️ GITHUB ✖️
✔️ https://github.com/LX-schlee

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