Python Webscraping| Covid 19| Covid 19 Data Analysis| Python| Part 1

This Python Webscraping| Covid 19| Covid 19 Data Analysis| Python| Part 1 video will help you understand how web data extraction automation works with an example of covid 19 data analysis using python. This would be ideal for both beginners and professionals who would want to understand data cleaning in python, data preparation python and how to perform webscraping using request python library. This is Part 1 of my tutorial and the link for my second and final part is below Part 2: https://www.youtube.com/watch?v=aTeJapvwJu8&t=731s Data sources: https://en.wikipedia.org/wiki/COVID-19_pandemic https://data.worldbank.org/indicator/SH.TBS.INCD https://data.worldbank.org/indicator/SP.POP.TOTL Credits: Wikipedia and Worldbank website. The following are the topics covered in this part of my tutorial, 1. Identify web data sources for corona virus and Tuberculosis data. 2. Brief introduction on Pandas and requests packages in python 3. Introduction to Spyder IDE in Anaconda 4. Data extraction using python 5. Data cleaning and manipulation using pandas 6. Data organization 7. Joins in python 8. Finalizing data for analysis. LinkedIn: https://www.linkedin.com/in/ponshankar-palanivel/ Twitter: https://twitter.com/PonshankarP Please comment your questions below, and I will try my best to clarify it. #covid19dataanalysis #automatewebdataextraction #coronavirusandmachinelearning