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Data Scraping and Data Mining from Beginner to Professional

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4

Data Scraping and Data Mining from Beginner to Professional

Data Scraping and Data Mining from Beginner to Professional

updated on icon Updated on May, 2024

language icon Language - English

person icon AISciences

English [CC]

category icon Development,Data Science

Lectures -152

Duration -14 hours

4

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Course Description

Data scraping is the technique of extracting data from the internet. Data scraping is used for getting the data available on different websites and APIs. This also involves automating the web flows for extracting the data from different web pages.

The course ‘Data Scraping and Data Mining from Beginner to Professional’ is crafted to cover the 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 to lay a solid groundwork for newbies. Then, we will go far deep gradually 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. At the end of every concept, we will be assigning you Home Work/assignments/activities/quizzes along with solutions. They will assess / (further build) your learning based on the previous data scraping and data mining concepts and methods. Most of these activities are designed to get you up and running with implementations.

The 4 hands-on projects included in this course 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.

Data Scraping is undoubtedly a rewarding career that allows you to solve some of the most interesting real-world problems. You will be rewarded with a fabulous salary package, too. With a core understanding of Data Scraping, you can fine-tune your workplace skills and ensure emerging career growth.

So, without further delay, get started with this course and pursue the knowledge that can sharpen your skills.

Teaching is our passion:

We strive to create updated and workplace-relevant online tutorials that could help you in understanding the concepts adequately. Our aim is to create a strong basic understanding for our students before moving onward to the advanced version. We have added enough exercises into the course. You will be able to grasp the concepts easily, and you will be inspired to think for yourself in regard to the right solution and implement it. High-quality video content, descriptive course material, assessment questions, course notes, and handouts are some of the perks of this course. Please approach our friendly team in case of any queries, and we assure you we will respond as quickly as possible.

After completing this information-packed course successfully, you will be able to:

  • Implement any project from scratch that requires Data Scraping knowledge.
  • Relate the concepts and practical aspects of Data Scraping with real-world problems.
  • Know the theory and practical aspects of Data Scraping concepts.
  • Gather data from websites in the smartest way.

Who this course is for:

  • People who are quite beginners and know absolutely nothing about Data Scraping.
  • People who want to make smart solutions.
  • People who want to learn Data Scraping with real data.
  • People who love to learn theory and then implement it using Python.
  • People who want to learn Data Scraping along with its implementation in realistic projects.
  • Data Scientists.
  • Machine learning experts.
  • Drop Shippers.

Goals

What will you learn in this course:

  • The introduction and importance of Data Scraping.
  • Why is it such a popular field nowadays?
  • All the essential concepts from the beginning with clear unfolding with examples in Python.
  • Practical explanation and live coding with Python.
  • Every theoretical explanation that’ll be followed by practical implementation.
  • Browser working and communication with the server.
  • Requests as well as responses to and from the server.
  • Parsing the data in response from the server.
  • Difference between Synchronous and Asynchronous requests.
  • Different tools that are used for data scraping, namely: Requests, BS4, Scrapy, Selenium.
  • Comprehensive comparison between Requests, BS4, Scrapy, and Selenium.
  • Replicating requests using the Python Requests Module for getting the data from the server.
  • Using BS4 for parsing the response data from the server.
  • The understanding of BS4 parsers functions for getting the data out of the HTML. 
  • Using Scrapy for writing the spiders for crawling websites and extracting data.
  • Using Selenium for understanding the automation and control of the web flows.

Prerequisites

What are the prerequisites for this course?

  • Basic understanding of HTML tags.
  • Familiarity with Python.
  • No prior knowledge of data scraping is needed. You start right from the basics and then gradually build your knowledge of the subject.
  • A willingness to learn and practice.
  • Since we teach by practical implementations, practice is a must thing to do.
Data Scraping and Data Mining from Beginner to Professional

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
5 Lectures
  • play icon Applications of Data Scraping 07:09 07:09
  • play icon Introduction of Instructor 00:40 00:40
  • play icon Introduction to Course, Scraping, Tools 01:39 01:39
  • play icon Projects Overview 03:42 03:42
  • play icon Why Data Scraping 02:42 02:42
Requests Module
15 Lectures
Tutorialspoint
Beautiful Soup 4 (BS4)
21 Lectures
Tutorialspoint
CSS Selectors
40 Lectures
Tutorialspoint
Scrapy
40 Lectures
Tutorialspoint
Scrapy Project
12 Lectures
Tutorialspoint
Selenium
13 Lectures
Tutorialspoint
Selenium Project
6 Lectures
Tutorialspoint

Instructor Details

AISciences

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