Python 101
Master Python, the most popular programming language for beginners and professionals alike. Learn from basics to advanced programming concepts with hands-on exercises. Gain skills for software development, data analysis, automation, AI, and more. Work on real-world projects to build a strong coding portfolio. Prepare for technical roles and coding interviews across industries.
Costs: $349.00

Course Overview
Beginner Level: Start with Python fundamentals including variables, data types, operators, and control statements. Learn basic programming logic and problem-solving skills.
Intermediate Level: Dive into functions, modules, file handling, object-oriented programming, and working with libraries. Build practical applications and enhance coding proficiency.
Advanced Level: Master advanced Python concepts such as decorators, generators, multithreading, APIs, and data manipulation with Pandas and NumPy. Learn to develop real-world projects and automation scripts.
Hands-on exercises and projects at each level reinforce learning and provide practical experience.
By the end of the program, you’ll be confident in Python programming and ready for careers in software development, data science, AI, and more.
what you will learn
- Python fundamentals: variables, data types, operators, loops, and control statements.
- Functions, modules, and object-oriented programming for reusable and modular code.
- File handling, exception handling, and working with libraries.
- Advanced topics: decorators, generators, multithreading, and API integration.
- Data manipulation with Pandas and NumPy for data analysis tasks.
- Automation scripts, mini-projects, and real-world application development.
- Best coding practices, debugging, and problem-solving techniques.
- Prepare for Python-based roles in software development, AI, ML, and data analysis.
Next Cohort Starts On 30 Nov
Skilled Covererd
- Core Python Programming and Syntax
- Object-Oriented Programming (OOP) in Python
- Data Handling and Manipulation with Pandas and NumPy
- File I/O, Exception Handling, and Module Usage
- Automation, Scripting, and Real-World Project Development
- Advanced Python Techniques: Generators, Decorators, Multithreading, APIs
Benefits
The certification can help you land lucrative roles in IT, manufacturing, finance, healthcare, and other exciting industries certified project managers drive better project performance and are often rewarded with substantial pay raises as shown below.
Designation
Annual Salary
Hiring Companies





Course Curriculum
Introduction & Basics
History and Features of Python
Installation and IDEs
Writing First Program
Python Interpreter vs Script Mode
Variables, Data Types, Type Casting
Input/Output
Comments
Operators & Control Flow
Arithmetic, Relational, Logical, Bitwise, Assignment, Membership, Identity Operators
Conditional statements (if, if-else, if-elif-else, Nested if)
Loops (for, while)
break, continue, pass
Data Structures – Strings, Lists, Tuples, Sets
String operations, slicing, methods, formatting, f-strings
Lists: creation, indexing, slicing, methods, nested lists, list comprehension
Tuples: creation, immutability, operations
Sets: creation, operations, methods
Data Structures – Dictionaries
Dictionary creation and accessing values
Dictionary methods
Looping through dictionaries
Nested dictionaries
Functions, Modules & Packages
Defining functions
Arguments (positional, keyword, default, variable-length)
Return values
Variable scope
Importing modules
Built-in modules (math, random, datetime)
Creating user-defined modules
Introduction to pip and packages
Exception Handling & File I/O
try-except, finally, else, raise
Custom exceptions
Opening/Closing files
Read/Write operations
File modes
Context manager (with)
Object-Oriented Programming
Classes and Objects
Attributes and Methods
Constructor
Inheritance
Encapsulation
Polymorphism
Advanced Python Concepts
Iterators
Generators (yield)
Decorators
Lambda functions
List and Dict comprehensions
Working with Libraries & Data Visualization
Numpy basics
Pandas basics (DataFrames, Series, basic operations)
Matplotlib basics (plotting, labels, titles)
Seaborn basics (optional)
Virtual Environments & Mini Project
Creating and managing virtual environments
Installing dependencies
End-to-end small project (e.g., Student Management System, Expense Tracker, Data Analysis project)
Python 101 FAQ
No, the course starts from the basics and progresses to intermediate and advanced Python concepts.
Yes, each level includes exercises, mini-projects, and real-world applications to reinforce learning.
Advanced topics include decorators, generators, multithreading, API integration, and data manipulation with Pandas and NumPy.
Absolutely. The course prepares learners for software development, data science, AI, and automation roles.
Yes, you will receive a certification upon completing the program, validating your Python skills.
Eligibility
- Build a strong foundation in Python for multiple career paths.
- Gain practical experience with projects and real-world applications.
- Strengthen problem-solving and logical thinking skills.
- Enhance your resume with hands-on Python programming expertise.
- Prepare for technical interviews and coding assessments.
- Develop transferable skills for AI, Data Science, Web Development, and Automation.
- Stand out as a confident, job-ready Python programmer.
- Learn industry-standard practices for writing clean and efficient Python code.
Pre-requisites
- No prior programming experience is required for beginners.
- Basic computer literacy and willingness to practice coding regularly.
- Curiosity and motivation to learn Python from fundamentals to advanced topics.
Contact Us
1800-212-7688
(Toll Free)
Costs: $349.00
- LevelIntermediate
- Duration30 hours 12 minutes
Why join this program
Develop skills for real career growth
Cutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
Learn from experts active in their field, not out-of-touch trainers
Leading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
Learn by working on real-world problems
Capstone projects involving real world data sets with virtual labs for hands-on learning
Structured guidance ensuring learning never stops
24×7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts
