Welcome to the Data Science Specialization about scraping.

In this course, you will learn how to scrape information from a website. This is a nice skill to have for Data Scientists because it gives you the ability to collect data from websites. This data than can be analyzed, processed, visualized and later used for creating a machine learning model.

To be able to scrape information from websites, you first have to understand the basics of how websites are built and how they work. Therefore, depending on the personalization you chose, the next couple of materials are an introduction to HTML and CSS. With respect to the HTML and CSS basics, you don't have to code along. Just watch and maybe take some notes. The goal of these materials is only for you to have heard of certain concepts and ideas so that when it comes to the scraping part you are not confused by all the HTML and CSS code.

After the HTML and CSS basics (if you selected them in the personalization), the scraping part starts 🎉. Here we encourage you to code along - either on Colab or your local machine in form of jupyter notebooks or python files.

For the scraping part of this course, we also added some practice exercises called. After each video session, you will have the opportunity to practice your skills directly.

Happy learning and have fun!