Course Information
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Course Overview
Master the skill for data science
Web scraping
Information from the Internet are stored in different types of websites and formats. This course will use Python to cover a variety of web scraping methods, so that students can find relevant data in different environments. The course will demonstrate private and open data such as supermarkets, forums and COVID-19 and turn those into machine-readable formats for further analysis.
Getting Started with Data Science Tools
When dealing with large amounts of data, traditional tools such as Excel are no longer sufficient and maintenance costs are high. This course will teach commonly used tools in Python (pandas, seaborn, numpy) and demonstrate how to effectively handle common data wrangling once the data has been collected.
What You’ll Learn
200 Mins Online videos
1. Regular Expression(41:42)
2. Introduction to Pandas(29:40)
3. More about Pandas(37:35)
4. Joining multiple data with Pandas(34:41)
5. Web Scraping - Intercepting API(25:29)
6. Web Scraping - Intercepting API 2(30:44)
7. Web Scraping - Intercepting HTML(34:42)
8. Web Scraping - Browse Automation(30:38)
9. Introduction to Numpy 1(83:07)
10. Introduction to Numpy 2(72:36)
11. Matplotlib & Seaborn 1(42:50)
12. Matplotlib & Seaborn 2(34:48)