Web Scraping APIs for Data Science 2021 PostgreSQL+Excel

This course will teach students how to extract data from a website's API. We will start with the basics and the beginner-level project. The advanced project will be followed by two more projects. After scraping data from the wach project, the results of that will be saved in an Excel file. The advanced level project will create two separate datasets each with 5000 results. The goal is to combine both data frames (total: 10000 result), save it in Excel, and then output the data in PostgreSQL. We will also be able to run SQL commands on our data. Basic knowledge of Python Programming is required for this course. You don't need to be a professional because we won't cover difficult topics in Python. It is important that you are interested in Data Mining and Web Scraping. This course will require you to be willing to spend time learning the information. You will be able to create your own datasets and scrape data after this course. You will always have the documents you need to refer back to, thanks to the course materials. You can ask questions in the Q&A Forum if you have any questions or are unsure about a concept. Your question will be answered by either the instructor or another student. You will never feel alone because of the community. Disclaimer: I teach web-scraping as a tutor for educational purposes. That's it. Do not damage a website when scraping the web. Do not harm a website when web crawling.