Web Scraping with Beautiful Soup for Data Science
In this course, you will learn how to extract data from websites. The main tool will be the Beautiful Soup (BS 4) Library
Development ,Programming Languages,
Lectures -22
Resources -1
Duration -4 hours
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Course Description
In this course, you will learn how to extract data from websites. The main tool will be the Beautiful Soup (BS 4) Library. Especially for people who work with data, it is important to be able to create their 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.
After covering the basics, this course will focus on 3 different projects. We start with a Beginner Level Project. Afterwards, we proceed with an intermediate project and finally, we will cover an advanced topic. 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 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.
Goals
Web Scraping
Beautiful Soup
Data Extraction
Web Scraping for Data Science
Data Mining
Data Scraping & Data Cleaning
Prerequisites
Basic understanding of Python Programming

Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction & Course Overview
1 Lectures
-
Introduction 03:40 03:40
Beautiful Soup - Basic Concepts
7 Lectures

Project No.1 - Level: Beginner
3 Lectures

Project No.2 - Level: Intermediate
5 Lectures

Project No.3 - Level: Advanced
5 Lectures

Course Resources
1 Lectures

Instructor Details

AlexanderSchlee
Hi Everyone, my name is Alex and I know that a lot of Programming-Topics can be very confusing and overwhelming. My Goal is to share my knowledge in a very simple way. I'm focussing on Python, Data Science and Automation. If you have any kind of questions, dont't hesitate to reach out to me on LinkedIn.
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