Gain insights into data science fundamentals, explore machine learning and big data, and delve into real-time projects. Discover systematic approaches to data acquisition, wrangling, and solving diverse problems.

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There is a lot of dispersed, and somewhat conflicting information on the internet when it comes to data science, making it tough to know where to start. Don't worry. 

This course will get you familiar with the state of data science and the related fields such as machine learning and big data. You will be going through the fundamental concepts and libraries which are essential to solve any problem in this field. 

You will work on real-time projects from Kaggle while also honing your mathematical skills which will be used extensively in most problems you face. You will also be taken through a systematic approach to learning about data acquisition to data wrangling and everything in between. This is your all-in-one guide to becoming a confident data scientist.

An Introductory Guide to Data Science and Machine Learning

# Beautiful Soup

Have you ever wondered how people extract data out of the public web and analyze it? They use libraries and other resources that ease the process of extracting the data from the public web (see in more technical terms, *"Scraping the Data"*). Beautiful Soup is the library that is meant for such purposes. The Data Science community has used it for a long time to scrape data from the public web because it pulls data from HTML and XML files. It has comprehensive documentation that makes it easy to use.    


Web pages are made up of HTML (Hypertext Markup Language). Beautiful Soup gets the data straight out of it by specifying the individual elements of HTML. Below is an example of how HTML markup is built and an overview of its different tags.








In this lesson, we’ll discuss how Beautiful Soup is used to extract data out of the Public Web.

What is Data Science ?

Applications of Data Science

Overview of Libraries

Probability and Statistics

Machine Learning Part-1

Machine Learning Part-2

Machine Learning Part-3

Deep Learning

Machine Learning Tools and Libraries

Big Data Tools and Technologies

Where to go next ?

Beautiful Soup (Scraping Data from Simple HTML)

Beautiful Soup