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Learn how to scrape E-Commerce Websites with Beautiful Soup

Description

In this short course we will scrape data from an E-Commerce website, using Beautiful Soup.

 

Especially for people who work with data it is important to be able to create own datasets. Often we rely on datasets from someone else. This course should show all data enthusiasts how to scrape and store data in Excel Files.

 

The requirement for this course is basic knowledge of Python Programming. Since we will not cover very difficult Python topics you do not have to be a professional. The most important characteristic is that you are curious about Web Scraping and Data Mining. You should be ready to invest time in gaining the knowledge which is taught in this course.

 

After this course you will have the knowledge and the experience to scrape your own data and create your own dataset. With the help of the course resources you will always have documents you can refer to. If you have a question or if a concept just does not make sense to you, you can ask your questions anytime inside the Q&A – Forum. Either the instructor or other students will answer your question. Thanks to the community you will never have the feeling to learn alone by yourself.

 

 

 

What you’ll learn

 

Web Scraping

 

Beautiful Soup

 

Data Extraction

 

Web Scraping for Data Science

 

Data Mining

 

Data Scraping & Data Cleaning

 

Are there any course requirements or prerequisites?

 

Basic understanding of Python Programming

 

Who this course is for:

 

Everybody who is interested in Web Scraping, for example Data Scientists

 

Professionals who want to create their own dataset without being dependent on some else

 

What you’ll learn

 

web scraping

 

data extraction

 

beautiful soup

 

requests library

 

Are there any course requirements or prerequisites?

 

basic understanding of Python programming

 

Who this course is for:

 

Data Enthusiasts who want to create their own datasets

 

Who this course is for:

Everybody who is interested in Web Scraping, for example Data Scientists

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