Loading
Loading, please wait…
Loading, please wait…
Learn the fundamentals of Python programming from scratch, including variables, data types, strings, lists, tuples, dictionaries, sets, and conditional statements.
This beginner-friendly Python programming course is designed to help you build a strong foundation in Python from scratch. You will learn how to install Python and use Python IDEs, work with variables and data types, understand Python tokens, and handle strings and string functions. The course also covers important Python data structures such as tuples, lists, dictionaries, and sets, along with flow control using if statements. By the end of the course, you will have a solid understanding of Python fundamentals and be ready to move on to more advanced programming concepts.
Explore the course and take the next step toward building your skills.
This course is ₹1,999 with lifetime access. No recurring payments. 30-day money-back guarantee.
5 modules, 41 lessons
Python Lesson 1: Python Installation & Python IDEs
10m
Python Lesson 2: Variables in Python
4m
Python Lesson 3: Data Types in Python
12m
Python Lesson 4: Python Tokens
5m
Lesson 5.1: Introduction to Python Strings
6m
Lesson 5.2: String Functions in Python
9m
Lesson 6.1: Tuples in Python
10m
Lesson 6.2: Lists in Python
10m
Lesson 6.3: Dictionaries and Sets in Python
8m
Lesson 7.1: If Statements in Python
18m
Lesson 7.3: While Loop in Python
6m
Lesson 7.4: For Loop in Python
5m
Lesson 8.1: Functions in Python
15m
Lesson 9.1: Introduction to Object-Oriented Programming (OOP) in Python
5m
Lesson 9.2: Creating Your First Class in Python
5m
Lesson 9.3: Adding Parameters to Class Methods in Python
6m
Lesson 9.4: Creating a Class with a Constructor in Python
6m
Lesson 9.5: Inheritance in Python
9m
Lesson 9.6: Overriding the __init__() Method in Python
7m
Lesson 9.7: Multiple Inheritance in Python
8m
Lesson 9.8: Multilevel Inheritance in Python
7m
Lesson 10: Libraries in Python
2m
Lesson 11.1: Introduction to NumPy Module
5m
Lesson 11.2: Initialization of NumPy Arrays
7m
Lesson 11.3 – NumPy Shape | NumPy Library in Python
3m
Lesson 11.4: Joining NumPy Arrays
3m
Lesson 11.5: NumPy Intersection and Difference
4m
Lesson 11.6: NumPy Array Mathematics
6m
Lesson 11.7: NumPy Save and Load
2m
Lesson 12.1: Introduction to Pandas
1m
Lesson 12.2: Pandas Series Object
12m
Lesson 12.3: Pandas DataFrame
7m
Lesson 12.4: Pandas .loc and .iloc Methods
4m
Lesson 12.5: Dropping Columns and Rows in Pandas
3m
Lesson 12.6 – Pandas Functions | Pandas Library in Python
6m
Lesson 13.1: Line Plot in Python
12m
Lesson 13.2: Bar Plot in Python | Data Visualization with Matplotlib
5m
Lesson 13.3: Scatter Plot in Python | Data Visualization with Matplotlib
5m
Lesson 13.4: Histogram in Python | Data Visualization with Matplotlib
4m
Lesson 13.5: Box Plot and Violin Plot in Python | Data Visualization with Matplotlib
4m
Lesson 13.6: Pie Chart and Donut Chart in Python | Data Visualization with Matplotlib
7m
Yes. The course starts with the basics of Python and does not require prior programming experience.
No. You can start this course with no previous Python experience.
Yes. The course is delivered online through video lessons.
You will have a solid foundation in Python programming and can continue learning advanced Python concepts, problem-solving, and application development.
