4 + 1 Hours (3 Sessions: 2Hrs + 2Hrs + 1Hrs)
1 Month Subscription to Online Support
MODE: 1 on 1 Highly Personalized
Schedule is tentative; finalized after enrollment according to student/instructor availability.
What is Web Scraping?
Web scraping involves retrieving and parsing information from the Internet. This skill valuable data science skill is used by marketers, stock traders, developers, analysts, and so many more. Automating data extraction from websites can save time, energy, and effort.
Who This Class is For:
Data scientist, analysts, statisticians, business professionals, and developers who want to retrieve and analyze web data. Learning to scrape websites to automatically extract data can save a large amount of time and effort.
What You’ll Learn:
This web scraping 101 class will teach you how to scrape websites for the data and select parts that you want to analyze. You will also get an introduction on how to format and analyze the data.
Topics Covered:
- Recap of Python basics
- BeautifulSoup parsing
- Matplotlib
- Data table formatting
- Scraping Rules
- Inspecting the Page
- Data Analysis in Python
- Pandas library
- NumPy library
- Exporting data to CSV file
Requirements:
Python Novice skills
What to Bring:
Laptop with minimum 8GB ram and Chrome installed and Anaconda Distribution installed