Academy of Data Science

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Certification Program in Web Scrapping
with Python

Course Duration

  • 60 Hours
  • 5 sessions/week

Tools Covered

  • Python
  • BeautifulSoup
  • Selenium

Learning Mode

  • Online Live Classes
  • One on one Interactive session

We provide

  • Special sessions for doubt solving
  • Sessions recordings (on request)
  • Sessions documents (on request) 
  • Assignments Mock interview
  • Live Projects

Python Full Course Content

Introduction to Python

  1. What is Python?
  2. Why Python?

Variables in Python

  1. What is Variable?
  2. Variables and Constants in Python
  3. Variable, names and Value
  4. Values and Types
  5. What Does “Type” Mean?

String Handling

  1. What is string?
  2. String operations and indices
  3. Basic String Operations
  4. String Functions, Methods
  5. Delete a string
  6. String Multiplication and concatenation
  7. Python Keywords, Identifiers and Literals
  8. String Formatting Operator
  9. Structuring with indentation in Python
  10. Built-in String Methods
  11. Define Data Structure?
  12. Data Structures in PYTHON

Python Operators and Operands

  1. Arithmetic, Relational Operators and Comparison Operators
  2. Python Assignment Operators
  3. Short-hand Assignment Operators
  4. Logical Operators or Bitwise Operators

Python Conditional Statements

  1. How to use “if condition” in conditional structures
  2. if statement (One-Way Decisions)
  3. if .. else statement (Two-way Decisions) 
  4. How to use “else condition”
  5. Logical Operators or Bitwise Operators
  6. if .. elif .. else statement (Multi-way)
  7. How to use “elif” condition
    Nested IF Statement

Python LOOPS

  1. How to use “While Loop” and “For Loop”
  2. How to use For Loop for set of other things besides numbers
  3. Break statements, Continue statements, Enumerate
  4. function for For Loop
  5. Practical Example
  6. How to use for loop to repeat the same statement over and again
  7. Break, continue statements

Learning Python Strings

  1. Strings
  2. Lists
  3. Tuples

Python Lists

  1. Lists are mutable
  2. Getting to Lists
  3. List indices
  4. Traversing a list
  5. List operations, slices and methods
  6. Map, filter and reduce
  7. Deleting elements
  8. Lists and strings

Python TUPLE

  1. Advantages of Tuple over List
  2. Packing and Unpacking
  3. Comparing tuples
  4. Creating nested tuple
  5. Using tuples as keys in dictionaries
  6. Deleting Tuples
  7. Slicing of Tuple

Python Sets

  1. How to create a set?
  2. Iteration Over Sets
  3. Python Set Methods
  4. Python Set Operations
  5. Union of sets
  6. Built-in Functions with Set
  7. Python Frozenset

Variables in Python

  1. What is Variable?
  2. Variables and Constants in Python
  3. Variable, names and Value
  4. Values and Types
  5. What Does “Type” Mean?

Python Dictionary

  1. How to create a dictionary?
  2. Python Dictionary Methods
  3. Copying dictionary
  4. Updating Dictionary
  5. Delete Keys from the dictionary
  6. Dictionary items() Method
  7. Sorting the Dictionary
  8. Python Dictionary in-built Function
  9. Dictionary len() Method
  10. Variable Types
  11. Python List cmp() Method
  12. Dictionary Str(dict)

Python Functions

  1. What is a function?
  2. How to define and call a function in Python
  3.  Types of Functions
  4.  How Function Return Value?
  5. Types of Arguments in Functions
  6. Default Arguments and Non-Default
    Arguments
  7. Keyword Argument and Non-keyword
    Arguments
  8.  Rules to define a function in Python
  9. Scope and Lifetime of variables
  10.  Nested Functions
  11. Call By Value, Call by Reference
  12. Passing functions to function

Python Date and Time

  1. How to Use Date & DateTime Class
  2. How to Format Time Output
  3. How to use Timedelta Objects
  4. Calendar in Python
  5. datetime classes in Python
  6. How to Format Time Output?
  7. The Time Module
  8.  Python Calendar Module
  9. Python Text Calendar, HTML Calendar Class
  10. Unix Date and Time Commands

File Handling

  1. What is a data, Information File?
  2. File Objects
  3. File Different Modes and Object Attributes
  4. How to create a Text Fil and Append Data to a File and Read a File
  5. Closing a file
  6. Read, read line ,read lines, write, write
    lines…!!
  7. Renaming and Deleting Files
  8. Directories in Python
  9. Working with CSV files and CSV Module
  10. Handling IO Exceptions

Python Exception Handling

  1. Chain of importance Of Exception
  2. Exception Handling
  3. Try … Except
  4. Try .. Except .. else
  5. Try … finally
  6. Argument of an Exception
  7. Python Custom Exceptions
  8. Ignore Errors
  9. Assertions
  10. Using Assertions Effectively

More Advanced PYTHON

  1. Python Iterators, Generators, Closures,
    Decorators and Python @property

Python Class and Objects

  1. Introduction to OOPs Programming
  2. Object Oriented Programming System
  3. OOPS Principles
  4. Define Classes
  5. Creating Objects
  6. Class variables and Instance Variables
    Constructors
  7. Basic concept of Object and Classes

Web Scrapping Course Content

1. Introduction

  1. Introduction
  2. What is web scraping?
  3. Which use cases does web scraping enable?
  4. Some introductory examples

2.Installation and Basics

  1. Installing Python Web Scraping libraries,
    BeautifulSoup, Requests & Selenium.
  2. Understanding the Basics of HTML and CSS
    structure
  3. Here we will test if you can correctly
    understand HTTP Error Codes.
  4. Here we will cover what the modulus
    operation does and what use that can be for
    us later on.

3. HTTP with Python and Requests

  1. What happens in a web Browser
  2. What goes on behind the Browser
  3.  The Hyper-Text Transfer Protocol
  4. Talking HTTP with Python
  5. Python HTTP libraries
  6. Requests hands-on
  7. Using Requests
  8. Getting the weather with Requests

4. Scraping Website using BeautifulSoup and Requests

  1. Parsing HTML and CSS with Beautiful Soup
  2. Extracting URLs from a webpage.
  3. Scraping text data from a webpage.
  4. Crawling multiple webpages and scraping data
    from each of them.
  5. Handling navigation links and move to next
    pages.
  6. Saving scraped data into a CSV file with
    Pandas.
  7. Overview about other popular web scraping
    frameworks.
  8. Here we will quickly talk about the other way of scraping data from the web, namely APIs.

5. Scraping Dynamic websites

  1. Scraping Dynamic Websites using
    Selenium
  2.  Handling popups
  3.  Fetching url, texts, images from
    varoious tags
  4.  Advance Scraping hacks