Your cart is empty.
Keep shoppingPython Programming:Beginner to Advanced with Projects(HINDI)
9 students
Python Programming:Beginner to Advanced with Projects(HINDI)
Learn Python with Projects, NumPy,Pandas,Data Analysis, MongoDB CRUD Connect Python to Mongo and Real-World Applications
Created byNishant Kumar
Last updated 7/2026
Hindi
What you'll learn
- Python programming fundamentals, including variables, loops, conditionals, and data types.
- How to build Python projects from scratch, including games, automation scripts, and web applications.
- Object-Oriented Programming (OOP) concepts and how to apply them to real-world problems.
- Debugging and problem-solving techniques to write clean, efficient code.
- Practical tips and techniques to prepare for coding interviews and real-world development tasks.
- Master the essentials of Pandas to clean, filter, and analyze real-world datasets effectively for meaningful insights
- Visualize data using Matplotlib to clearly communicate patterns and trends in your data
- Apply the full data analysis workflow to real-world projects
Explore related topics
Course content
18 sections • 128 lectures • 20h 8m total length
Requirements
- Beginner-Friendly: No prior programming experience is required.
- Project-Based Learning: Gain hands-on experience by building projects that showcase your skills.
Description
Python is one of the most widely used programming languages for software development, data analysis, and automation. This course, Complete Python with NumPy, Pandas and Matplotlib , OOPS Concepts , MongDB Database (IN HINDI), is designed to help learners build strong Python programming skills and confidently work with data using industry-standard libraries.
Learn Python from scratch and advance to building real-world applications using powerful tools like NumPy, Pandas, Matplotlib, and MongoDB.
This course is designed with a step-by-step practical approach, making it perfect for beginners as well as learners who want to build strong fundamentals and move towards real-world development.
This course is ideal for students, working professionals, and anyone looking to use Python for data analysis or programming tasks. All concepts are explained clearly in Hindi, making the course easy to follow and practical to apply, even for learners with no prior programming experience.
By the end of this course, learners will be able to write structured Python programs, analyze data efficiently, and visualize insights using Python with confidence.
What You Will Learn
Python basics (variables, data types, operators)
Control statements (if-else, loops)
Functions and modular programming
Data structures (List, Tuple, Set, Dictionary)
Object-Oriented Programming (OOP)
Exception Handling
Flask Web Frame Work
NumPy for numerical computing
Pandas for data analysis
Matplotlib for data visualization
MongoDB configuration and integration
CRUD operations using Python
Sales data analysis project
Real-World Projects Included
Console-based Python applications
MongoDB CRUD Project
Sales Data Analysis using Pandas & Matplotlib
Why This Course?
Beginner-friendly teaching style
Practical and job-oriented content
Covers both programming + data analysis
Hands-on projects for better understanding
Clear explanation of each concept
Who This Course is For
Beginners with no programming experience
Students preparing for placements
Developers switching to Python
Anyone interested in Data Science & Backend Development
What You Will Achieve
By the end of this course, you will be able to:
Write Python programs confidently
Work with real-world datasets
Perform data analysis using Pandas
Build projects using MongoDB
Apply Python skills in real scenarios
About the Instructor
Nishant Kumar is a full-stack developer and instructor with experience teaching 2500+ students on Udemy and thousands on YouTube. He specializes in making complex concepts simple and practical.
Who this course is for:
- Complete Beginners: Individuals with no prior programming experience who want to start their journey in Python and coding.
- Aspiring Programmers: Students and professionals looking to build a strong foundation in Python for academic or career purposes.
- Career Changers: People from non-technical backgrounds who want to transition into tech or software development.
- Hobbyists and Enthusiasts: Anyone interested in learning Python to automate tasks, build projects, or explore programming as a hobby.
- Future Data Scientists and Developers: Those aiming to use Python for data analysis, web development, or machine learning in the future.