Python Programming

Python is a premier, flexible, and powerful open-source language that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, Python has been used in scientific computing and highly quantitative domains such as Finance, Oil and Gas, Physics, and Signal Processing. Today, it is the most preferred language for Artificial Intelligence (AI), Robotics, Web Development, and DevOps.

• Python is one of the most in-demand languages among developers
• Python is growing extensively for its use is Data Science
• The financial sector is deploying Python widely
• Many companies including Netflix, IBM and Quora are using Python
• Python is among the highest paying languages globally

The Python Programming Certification Course covers both basic and advanced concepts of Python, such as writing Python scripts, sequence and file operations, object-oriented concepts, and web scraping. During this journey, you will learn many essential and widely used Python libraries such as pandas, NumPy, Matplotlib, among others.

This course introduces basic concepts of Python language, its usage in the industry, how it is emerging as one of the most sought language for various applications and the potential it has from career perspective.

Join for this FREE introductory session by registering here.

Understand what Python is and why it is so popular. Learn how to set up Python environment, flow control and write your first Python program.

1. Introduction to Python Language
2. Installation of Python
3. Numbers – Integer, Float, Complex
4. Strings
5. Lists
6. Tuples
7. Dictionary
8. Python Sets
9. Conditional Statements – If, If-else, If-elif-else
10. Loops – For Loop, While Loop
11. Date & Time
12. Operators
13. Functions – Lambda, Map(), List Comprehension, filter()
14. I/O Functions
15. File Handling
16. Error Handling
17. OOPS Concepts

• Class, Objects, Constructors, Polymorphism, Attributes, Inheritance, Encapsulation, Method Overloading, Method Overriding, Enumerations, Multi-Threading, Destructors, Exception Handling     

18 Database Connectivity - CRUD Operation in MySQL

19 Working with CSV & Excel Files

20 Advanced Data Types

• Dequeue in Python
• Python orderedDict
• Python namedTuples
• Python Frozenset
• Difference between List, Tuple, Dict, Set, FrozenSet    

21 Python Comprehensions    

• List   Comprehensions    
• Set   Comprehensions    
• Dictionary Comprehensions    
• Set   Comprehensions    

22 Python Optimizations    

23 Numpy    

24 Pandas    

25 Exploratory Data Analysis in Python    

26 Data Analysis & Visualization in Python    

27 Web Scrapping    

28 Natural Language Processing     

• On-line Interactive Classes
• 40 sessions of 1 hour each (20 sessions for Level 2A and 20 for Level 2B)
• One can also opt for either of Level 2A or 2B
• Practice assignments
• Quizzes
• Mini-project

Register here to join the course