Web Scraping APIs for Data Science 2021 | PostgreSQL+Excel paid course free for all. You will Learn From Beginner to Advanced | 4 Hands-On Projects in this complete course.
- web scraping
- data extraction
- data mining
- create your own dataset
- output data in Excel
- output your dataframe in PostgreSQL
- run SQL commands on your dataframe
Web Scraping APIs for Data Science Course Requirements
- basic understanding of Python programming
Web Scraping APIs for Data Science Course Description
In this course, students will learn how to extract data from the website’s API (if available). We start with basic knowledge and elementary projects. After that, two different projects will be covered, followed by advanced projects. After grabbing the data for each item, the results will be stored in an Excel file.
In the advanced project, we will create two different datasets, each containing 5000 results. The goal is to merge two data frames (total: 10,000 results), save them in Excel and generate data in a PostgreSQL database, and execute SQL commands on our own data. The requirement of this course is the basic knowledge of Python programming.
Since we won’t cover very difficult Python topics, you don’t have to be a professional. The most important feature is that you are curious about Web Scraping and Data Mining. You should be prepared to take the time to acquire the knowledge taught in this course. After completing this course, you will have the knowledge and experience to extract your own data and create your own data set.
With the help of course resources, you will always have documents you can refer to. If you have a question or a concept does not make sense to you, you can always ask your question in the Q&A forum. Teachers or other students will answer your questions. Thanks to the community, you will never feel like learning just for yourself.
Who this course is for:
- Data Enthusiasts who want to create their own datasets
Source: https://www.udemy.com/course/web-scraping-apis-for-data-science-2021/
Web Scraping APIs for Data Science