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Learn Python Programming from Scratch
2,484 students
Learn Python Programming from Scratch
Master Python from scratch and build real-world projects using Pandas, NumPy, Matplotlib, Seaborn, Scikit-Learn & Tensor
Created byMd Al Mamun
Last updated 5/2025
English
What you'll learn
- Master the fundamentals of Python programming — including variables, data types, loops, functions, and object-oriented programming
- Analyze, manipulate, and visualize data using essential Python libraries like NumPy, Pandas, Matplotlib, and Seaborn
- Build & evaluate Machine Learning models using tools like Scikit-Learn and TensorFlow, & understand key ML concepts
- Apply your knowledge in hands-on projects, such as predicting housing prices, detecting spam messages, and visualizing trends in real datasets.
- Develop and deploy deep learning models with TensorFlow to solve real-world problems like image recognition or sentiment analysis.
Explore related topics
Course content
2 sections • 23 lectures • 1h 50m total length
Requirements
- No prior programming experience needed – the course starts from the very basics.
- A computer (Windows, Mac, or Linux) with an internet connection.
- Willingness to learn and experiment with code through hands-on exercises.
- A positive attitude – you’re going to learn a powerful new skill!
Description
Python for Data Science & Machine Learning Bootcamp [Beginner to Advanced]
Ready to launch your career in Data Science or Machine Learning but don’t know where to start? This is the only course you need to go from zero coding experience to building real-world machine learning models using Python!
This comprehensive, hands-on bootcamp is designed for absolute beginners and will take you all the way through to advanced data analysis and machine learning techniques—using industry-standard tools like NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, and TensorFlow.
What You’ll Learn:
Write Python code from scratch—even if you’ve never programmed before
Analyze and manipulate data using NumPy and Pandas
Visualize data with Matplotlib and Seaborn to identify patterns and trends
Build, train, and evaluate Machine Learning models using Scikit-Learn
Understand core ML concepts: regression, classification, clustering, and model evaluation
Explore Deep Learning and build neural networks with TensorFlow
Apply your skills in real-world projects like spam detection, house price prediction, and more
Why Take This Course?
Beginner-friendly: No prior experience needed—we start with the basics
Step-by-step projects to help you apply what you learn immediately
High-quality visuals & intuitive explanations for complex topics
Real-world datasets & examples from business, health, and social media domains
Perfect for students, professionals, or career changers entering the data world
By the end of this course, you'll not only understand how to use Python for data science, but you'll have the confidence and skills to take on real-world data problems and even land your first role in the field.
Join thousands of students and start your journey into Data Science & Machine Learning with Python today!
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Who this course is for:
- Absolute beginners who want to learn Python programming with no prior coding experience.
- Aspiring data scientists, analysts, or machine learning engineers who want a strong foundation in Python and its data ecosystem.
- Students and professionals transitioning into tech or data-focused roles.
- Anyone interested in data science, machine learning, or AI and looking for a practical, hands-on learning experience.
- Developers in other languages who want to pick up Python for data science and ML purposes.