About This Course
Python Programming for Everyone: Learn Basics to Advanced is a comprehensive, beginner-friendly course designed to help learners master Python programming from the ground up and progress toward advanced concepts used in real-world applications and data science. This course requires no prior programming experience and focuses on building strong fundamentals through clear explanations, hands-on coding, and practical examples.
The course begins with Python basics, environment setup, and core programming concepts such as variables, data types, strings, conditional statements, and loops. Learners then explore essential data structures, functions, error handling, and object-oriented programming, developing a solid understanding of how Python works internally.
As the course advances, learners are introduced to powerful libraries used in data analysis and visualization, including NumPy, Pandas, Matplotlib, and Seaborn. You will learn how to work with real datasets, clean and transform data, perform feature engineering, and create meaningful visualizations.
By the end of this course, learners will be confident in writing clean, efficient Python code, solving real-world problems, and applying Python skills in domains such as data science, automation, and software development. This course is ideal for students, professionals, and anyone looking to build a strong foundation in Python and advance toward data-driven careers.
Learning Objectives
Material Includes
- Stepwise Learning Modules
- Course Completion Certificate
Requirements
- Basic computer knowledge, such as managing files and installing software.
- A computer (Windows/Mac/Linux) with stable internet access to run development tools.
- No prior programming - you’ll learn from scratch.
- Willingness to learn, practice, and complete hands-on assignments.
Target Audience
- Beginners with no prior programming experience who want to learn Python from scratch
- Students pursuing computer science, data science, AI, or related technical fields
- Working professionals looking to upskill or transition into Python or data-driven roles
- Anyone interested in automation, data analysis, or building a strong programming foundation
Curriculum
Course Introduction & Environment Setup
Introduction1:57
Course Goals2:33
Course Curriculum2:08
My Expectations3:24
Why Python for Data Science3:30
Anaconda Navigator Setup4:17
Jupyter Notebook Interface and Markdown6:00
Python Basics
String Operations
Conditional Statements
Looping Concepts
Lists, Lists Operations & Comprehension
Tuples, Sets & Dictionaries
Functions & Built-in Utilities
Built-in & Functional Programming Tools
Error Handling & Exceptions
Object-Oriented Programming (OOPs)
Pandas – Data Analysis
NumPy – Numerical Computing
Data Visualization
Earn a certificate
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.
Your Instructors
Samridh Agarwal
Hi, I’m Samridh Agarwal! I am a Data Science educator currently studying at IIT Bombay (GATE qualified).
I have a unique approach to teaching: I am obsessed with the "origin story" of concepts. I love digging into the thinking process behind an invention to understand exactly why it came into existence. In my classes, I break down complex technical topics into simple, logical steps by retracing the path of the original inventors. My goal is to make sure you understand the intuition behind the code.
₹499.00₹1,499.00
Material Includes
- Stepwise Learning Modules
- Course Completion Certificate
Complete Python Data Science & Machine Learning Bootcamp
₹1,249.00₹4,999.00
Complete Data Analyst Roadmap: From Beginner to Job-Ready
₹499.00₹999.00
