Course Information
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Course Overview
Master Python by building real time projects. Learn data science, automation, build API, websites and databases.
Want to learn Python and start building real-world projects? This course is designed to take you from a beginner to an advanced programmer in just 30 days. Whether you’re a student, working professional, or entrepreneur, this hands-on learning journey will help you master Python with practical applications.
We start with the basics—understanding variables, loops, functions, and object-oriented programming—so you build a strong foundation. Each day, you’ll practice coding through small exercises that gradually introduce you to more advanced concepts. You’ll learn how to automate tasks, manage files, handle errors, and work with databases like SQLite and PostgreSQL.
As you progress, we dive into web development using Flask/Django, where you'll build APIs and create interactive websites. You'll also explore data science, working with Pandas, NumPy, and Matplotlib to analyze and visualize data. By the end of the course, you’ll even try out machine learning basics and deploy projects online.
This course is all about learning by doing. No boring theory—just real-world coding! Each module includes a hands-on project, such as automating emails, building a web scraper, or creating a simple chatbot. These projects will strengthen your problem-solving skills and help you build a portfolio to showcase your expertise.
By the end of 30 days, you'll be confident in using Python for multiple applications—whether it's automating daily tasks, developing web applications, or analyzing data. You’ll have real projects to demonstrate your skills, making it easier to land a job, start freelancing, or build your own applications.
If you're looking for a fun and practical way to master Python, this course is for you!
Course Content
- 25 section(s)
- 69 lecture(s)
- Section 1 Introduction to Python
- Section 2 Installation of Python
- Section 3 Jupyter notebook overview
- Section 4 Variable, Keywords and Comments
- Section 5 Operators in Python
- Section 6 How to take input from user
- Section 7 Conditional Statement
- Section 8 Looping Statement
- Section 9 Data types in Python
- Section 10 Functions in Python
- Section 11 Lambda Functions
- Section 12 Decorators and Generators
- Section 13 Classes and Objects
- Section 14 OOPS Concept
- Section 15 Files handling and Exception Handling
- Section 16 Regular expression
- Section 17 Logging and Debugging in Python
- Section 18 Python Testing
- Section 19 Command Line Arguments
- Section 20 Databases in Python
- Section 21 API Development in Python
- Section 22 Pydantic (Data validation Framework)
- Section 23 Python Libraries for Data Science
- Section 24 End to End Project on Data Science
- Section 25 Important concepts that everyone should know
What You’ll Learn
- You will be master the Python Programming by builiding the real time projects
- You will be able to program in Python professionally
- Be able to use Python for data science and machine learning
- Be able to use Python for Automation, and API development
Skills covered in this course
Reviews
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SSamarth Shah
From basics to advanced concepts, all are explained very clearly, struggled a bit at the start, as a complete newbie to coding. Definitely recommend anyone preparing for coding before college (like me), or anyone genuinely interested in coding.
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KKEEMBAR DESTA
It was good and I will be sure that it will change my life forever
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BBaligh Hamdi
yes good for last module is best
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HHari
One of the best course for beginners and well explained each and every concept