
Describing that what are the real world problem that you are going to solve by taking this course
Introduction to web scraping
A brief introduction of HTML elements that will be required in this course
Brief introduction of python concepts(Only those which are needed in this courese)
Basics of Web scraping and overview of a general project of web scraping
Scraping some desired data form ICC website
Scraping names of Top 10 teams from ICC website
Scraping pictures form yts(all the wallpapers of movies on home page)
Scraping the answers of questions on Stackoverflow website along with their votes, which can later be modified according to need
How to convert the scraped data into a csv or excel file in order to use it later or for presentations
This course focuses on the basic as well as advanced level of web scraping. You are eligible to take this course if you just have a basic knowledge of any programming language.
This course is all about extraction of data from websites. Since we are living in an era of information technologies, so there has to be an automated solution to this problem and yes, there is a solution to this problem and we call it “Web Scraping”.
We are using “python” as a programming language for this purpose. Python provides us some very useful libraries in order to deal with data. For example: Pandas or numpy and specially “Beautiful soup” for web scraping. One of the other reasons to use python for this tutorial is the importance of python in this era, as almost every survey nominates python as the fastest emerging programming language in world. So in order to keep ourselves updated with modern day technologies, we are also using python for this course as a programming language.
In this course we will take a start from absolutely basic level and will try to tell you everything from scratch. And then once we are good with our fundamentals, we will be doing some advances level projects as well, such as extracting pictures from websites or manipulating the data after the extraction.
And finally we will learn how to store our data in a structured format so that it becomes useful for many other objectives. So we will be exporting the data into CSV or excel format so that it will become readable for everyone or it can be used in presentations or data analysis processes or anywhere you want.