Python/Pandas Data Analysis on "Most In-Demand Tech Skills for Programmers or Data Scientists"
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- data scraping (Google Spreadsheet)
- data visualization (DataStudio)
- Setting / github, Google Colaboratory, Source tree
- Pandas & DataFrame / Data Selection, pre-processing
- Beautifulsoup & Requests / Data Scrapping (get html)
- Selenium / Data Scraping (drive.get)
- Selenium & PostgreSQL / Data Scraping and Save to database - Associate Python file with postgresql
- Selenium & PostgreSQL & DataStudio / server db to Google DataStudio *with DBeaver
- Seaborn & Matplotlib / Data Visualization, Statistics : Graphs and Charts
- Pandas & DataFrame : What are the most popular courses in Coursera?
- Pandas & DataFrame : Analysis Tech Trends with Github Repositories
- Beautifulsoup & Requests : What are the most popular books in Yes24?
- Selenium : What are the most popular courses in Udemy?
- Selenium : What are the Most Popular Repositories in Github?
- Selenium & PostgreSQL : Save Udemy course information to database - Python with postgreSQL
- Selenium & PostgreSQL & DataStudio : Udemy Course Information - Interactive Visualization