Professional Skills Self Paced

Python

This course is designed to transform you from a beginner into a confident Python programmer who can write efficient code, solve real-world problems, and build a strong foundation for careers in Data Analytics, Data Science, and software development.

4.7 (268 ratings)
673 enrolled 8 hours Professional Tamil

What You'll Learn

  • Python fundamentals, syntax, and programming basics
  • Working with variables, data types, and operators
  • Using data structures like lists, tuples, and dictionaries
  • Writing logic using conditions, loops, and functions
  • Handling files and managing errors in real scenarios
  • Understanding Object-Oriented Programming (OOP) concepts

Requirements

  • Basic Computer Operating Skills

Tools & Technologies

Python Python

Course Description

Master Python from beginner to advanced with this complete Tamil course designed for job seekers, freshers, and career switchers.

This zero-to-hero program covers everything you need to build a strong foundation in programming and prepare for roles in Data Analytics and Data Science. Starting from installation and setup, you will learn core programming concepts step by step.

Right for You?

Who This Course is For

  • Beginners with no coding background
  • Students starting their programming journey
  • Job seekers targeting Data Analyst / Developer roles
  • Career switchers moving into tech and data fields

Course Curriculum

22 modules • 103 lessons
Section 01 - Fundamentals & Tools 4 lessons • 22m 58s
  • Introduction
  • Download & Install Python - Windows Operating System
  • Download & Install VS Code
  • VS Code & Jupyter Setup for Python Project
Section 02 - Variables 3 lessons • 27m 51s
  • Setting Virtual Environment & Input Collection
  • Create Variables
  • Displaying the Output
Section 03 - Data Types 8 lessons • 45m 41s
  • Why Data Types
  • String Data Type
  • Integer Data Type
  • Floating Point Data Type
  • Type Casting
  • String Interpolation
  • Boolean Data Type
  • None Type
Section 04 - Arithmetic Operations 8 lessons • 16m 49s
  • Addition
  • Subtract
  • Multiplication
  • Division
  • Integer Division
  • Modulus
  • Power | Exponent
  • Operator Precedence
Section 05 - Math Library 4 lessons • 15m 49s
  • Math Functions
  • Math Constants
  • Trigonometry Functions
  • Practical Example - Calculate the Price of the Land
Section 06 - Data Structures - List 10 lessons • 28m 55s
  • List
  • Creating a List
  • Add items to the List
  • Remove item from the List
  • List Indexing - Items Order
  • Insert Item
  • Replace Item
  • Find item in the List
  • Total items in the List
  • Nested List
Section 07 - Tuple 5 lessons • 8m 21s
  • Create a Tuple
  • Count Items in Tuple and List
  • Tuple Indexing - Items Order
  • Get Index of the Item
  • Total Items in the Tuple
Section 08 - Dictionary 6 lessons • 15m 43s
  • Create Dictionary
  • Add attributes in the Dictionary
  • Remove attributes from the Dictionary
  • Access values from the Dictionary
  • Modify value in the Dictionary
  • Get keys and values from a Dictionary
Section 09 - Comparison Operators 6 lessons • 12m 42s
  • Equality Operator
  • In-equality Operator | Not Equal to
  • Greater Than Operator
  • Lesser Than Operator
  • Greater than or Equal to Operator
  • Lesser than or Equal to Operator
Section 10 - Conditional Clauses 5 lessons • 37m 55s
  • Single Condition - If Clause
  • Double Condition - If..Else Clause
  • Double Condition - Ternary Operator
  • Many Conditions - If..Elif..Else Clause
  • Many Conditions - Match Statement
Section 11 - Logical Operators 3 lessons • 21m 20s
  • Why Logical Operations preferred instead of Nested If Clause
  • Logical AND Operator
  • Logical OR Operator
Section 12 - While Loop 4 lessons • 28m 06s
  • Counting Numbers with While Loop
  • Update List Value with While Loop
  • Find GST Values with While Loop
  • Indefinite While Loop
Section 13 - For Loop 1 lesson • 3m 45s
  • For Loop
Section 14 - Range Function 2 lessons • 5m 41s
  • Range Function with Stop Number
  • Range Function with Start Number
Section 15 - Nested Loops 2 lessons • 12m 17s
  • Nested For Loop
  • Nested While Loop
Section 16 - Break and Continue 4 lessons • 16m 05s
  • Break in For Loop
  • Break in While Loop
  • Continue in For Loop
  • Continue in While Loop
Section 17 - Loop Else 2 lessons • 10m 06s
  • For Else
  • While Else
Section 18 - File Handling 7 lessons • 27m 07s
  • Create a File using Python
  • Write a File using Python
  • Append content to an existing File using Python
  • Read contents from a File using Python
  • File Handling with Context Manager
  • Check whether a file exists using Python
  • Delete a File using Python
Section 19 - Exception Handling 6 lessons • 17m 48s
  • Errors in Python Programming
  • Try Exception
  • Name Error in Python Programming
  • Type Error in Python Programming
  • Writing Exception Message in Python
  • Finally in Exception Handling
Section 20 - Functions 7 lessons • 34m 40s
  • Function Definition
  • Arguments and Parameters in Python Functions
  • Return Values in Python Functions
  • Default Parameters in Python Functions
  • Keyword Arguments in Python Functions
  • Arbitrary Arguments in Python Functions
  • Doc String in Python Functions
Section 21 - Modules 1 lesson • 13m 08s
  • Modules
Section 22 - Object Oriented Programming in Python 5 lessons
  • Class and Objects in Python Programming
  • Constructors in Python Programming
  • Data Members
  • Methods | Member Functions
  • Inheritance and Polymorphism in Python Programming
Our Advantage

Why Choose This Course

  • Complete Beginner to Advanced Python in one course
  • Focus on practical, real-world coding examples
  • Explained in Tamil for easy understanding
  • Strong foundation for Data Analytics & Software careers

Your Instructor

Parthiban Kannan

Parthiban Kannan

Co-founder & Manager

17 Courses

14+ years of experience in digital transformation, leading teams of 15+ members and delivering 160+ projects for organizations like Lakshmi Machine Works, Milacron, Schneider Electric, Aatomz Research, and Variablz Technologies. AI innovator with a patent approved by the Government of India, with strong expertise in Data Science, Data Analysis, Business Intelligence, and Software Development.

Course Outcomes

What Our Students Build

Articles, projects, research papers and more — real work by our learners applied beyond the classroom.

What Students Say

Parthiban sir mentorship was instrumental in my career transition. His technical expertise, leadership, and supportive guidance helped me grow professionally. He creates a positive, inspiring learning environment—ideal for anyone seeking to advance in data science or software development.

Karthik Saravanan
Karthik Saravanan Data Analyst, NTT Data
FAQ

Frequently Asked Questions

Is this course suitable for beginners?

Yes, it starts from scratch and is perfect for learners with no coding experience.

Do I need any prior programming knowledge?

No, everything is taught from the basics step by step.

In which language is the course taught?

The course is explained completely in Tamil for better understanding.

What will I learn in this course?

You will learn Python fundamentals, data structures, loops, functions, file handling, and OOP concepts.

Is this course useful for Data Analyst or Data Science roles?

Yes, it builds the foundation required to move into Data Analytics and Data Science.

Will there be practical examples?

Yes, the course includes real-world examples and hands-on coding practice.

Do I need a high-end system to learn Python?

No, Python runs on basic systems with minimal requirements.

What should I learn after completing this course?

You can move to Pandas, NumPy, data visualization, and machine learning.