Introduction to Python:

Python programming is the state of art now because of its simplest syntax, implementation and availability of libraries it pressures more on code readability. Python is the best platform for Data Science and Data Analytics because of its rich ecosystem that offers multiple packages like NumPy, Pandas, Matplotlib, SciPy, etc. Python is versatile language that supports multi-threading and enables user to perform almost any task with user-friendly and dynamic coding.

In this course, we provide you with both conceptual and practical approach on solving multiple real-life Business Data Problems. By the end of the course, you will have a solid understanding of Looping, Structures, Data Manipulation, Web Scraping, Pattern Recognition, Decision Making, Automation, Data Cleaning, Data Processing, Data Analysis and Data Visualization.

Curriculum for this course:

Python Basics

  • Introduction To Python
  • Python Application
  • Python VS Other Program
  • What Are Variables?
  • Types Of Variables
  • Data Type Basics
  • List and Tuples
  • Dictionary and Strings
  • Application-Calculator
  • Application-Gmail Checker

Loops and Functions

  • Conditional Statements
  • For loop
  • While loop
  • Break And Continuous Statement
  • Useful Shortcuts By Programmers
  • Functions
  • Built In Functions
  • How To Connect With Packages
  • Application-File Compressor
  • Application-Tic Tac Toe

Class Objects and Error Handling in Python

  • Anonymous Functions
  • Dealing With Errors
  • Handling Exceptions
  • User Defined Exceptions
  • Defining Clean-Up Actions
  • Modules
  • Class And Objects
  • Decorators
  • Application – Securing A File
  • Application-Error Compiler

File Handling and File Automation

  • File Handling
  • Operating System Interface
  • File Wild Cards
  • Regular Expressions
  • Iterators And Generators
  • Create Web maps With Python
  • Internet Access
  • Mathematics
  • Application-Folder Automation
  • Application –Browser Search Box Automation

Getting Deeper Into Python

  • Virtual Environment
  • Argument Parser
  • Data Hiding
  • Web Scrapping
  • Open CV
  • Machine Learning Highlights
  • Saving Data With JSON
  • Application -Web Scrapped Images And Extracting
  • Application – Argument Parser To Pass The CV Images To CSV Files.

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