Data Scraping and Data Mining from Beginner to Pro with Python

Description

Data scraping is used to get the data available on different websites and APIs. This also involves automating the web flows to extract the data from different web pages. Data Scraping and Data Mining with Python is a well-designed course for beginners to develop a solid groundwork for the skills necessary.

Data scraping is the technique of extracting data from the Internet. The course Data Scraping and Data Mining from Beginner to Professional is crafted to cover topics that result in the development of the most in-demand skills in the workplace. These topics will help you understand the concepts and methodologies with regard to Python. The course is easy to understand, imaginative and descriptive, comprehensive, practical with live coding, full of quizzes with solutions, rich with state-of-the-art and updated knowledge of this field. This course is designed for beginners. We'll spend sufficient time on the fundamentals. Then, we will gradually go far deep with a lot of practical implementations where every step will be explained in detail. As this course is essentially a compilation of all the basics, you will move ahead at a steady rate. You will experience more than what you have learned. Most of these activities are designed to get you up and running with implementations. The four hands-on projects included are the most important part of this course. These projects allow you to experiment for yourself with trial and error. You will learn from your mistakes. Importantly, you will understand the potential gaps that may exist between theory and practice. Code bundles are available here: https://github.com/PacktPublishing/Data-Scraping-and-Data-Mining-from-Beginner-to-Pro-with-Python

Understand the difference between synchronous and asynchronous requests
Apply BS4 for parsing the response data from the server
Explore the different tools that are used for data scraping; namely, Requests, BS4, Scrapy, Selenium
Understand BS4 parser functions for getting the data out of the HTML
Learn to use Scrapy to write the spiders for crawling websites and extracting data
Learn to use Selenium to understand the automation and control of web flows

This course is for people who are beginners and absolutely new to data scraping and for individuals who want to make smart solutions and learn data scraping with real data using Python.

It is also useful for data scientists, machine learning experts, drop shippers who are interested in learning data scraping along with its implementation in realistic projects.

The entire course follows a practical hands-on approach ensuring that you can practice and understand all core concepts. The course has an interactive learning experience with practice exercises and assignments at the end of every concept along with solutions. They will assess and further build your learning based on the previous data scraping and data mining concepts and methods.

Relate the concepts and practical aspects of data scraping with real-world problems * Know the theory and practical aspects of data scraping concepts * Implement any project from scratch that requires data scraping knowledge

https://github.com/PacktPublishing/Data-Scraping-and-Data-Mining-from-Beginner-to-Pro-with-Python

AI Sciences are experts, PhDs, and artificial intelligence practitioners, including computer science, machine learning, and Statistics. Some work in big companies such as Amazon, Google, Facebook, Microsoft, KPMG, BCG, and IBM. AI sciences produce a series of courses dedicated to beginners and newcomers on techniques and methods of machine learning, statistics, artificial intelligence, and data science. They aim to help those who wish to understand techniques more easily and start with less theory and less extended reading. Today, they publish more comprehensive courses on specific topics for wider audiences. Their courses have successfully helped more than 100,000 students master AI and data science.

1. Introduction

2. Requests

3. Beautiful Soap 4(BS4)

4. CSS Selectors

5. Scrapy

6. Scrapy Project

7. Selenium

8. Project Selenium