Learn Python Programming from Scratch

Name: Learn Python Programming from Scratch
Rating: 4.5 (80 reviews)

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.

Course content

2 sections • 23 lectures • 1h 50m total length

Introduction1:08
Begin with absolute beginners to learn Python by building a calculator, a to-do list, a number guessing game, and notes stored in a file, with step-by-step guidance.
What Your will Learn in this Course4:41
Learn python from scratch with modules on variables, data types, operators. Study conditionals, loops, functions, data structures, file handling, and error handling through real world projects.
What is Python? Why You Should Learn ?2:08
Discover what Python is, why you should learn it, and how its high-level, beginner-friendly, interpreted syntax enables web development, AI, data science, automation, and game or robotics projects.
Install Python on Windows PC2:20
Learn how to install Python on Windows by downloading from python.org, running the installer, and completing a quick test in the Python interpreter.
Install Python on Mac2:29
Install Python on mac by downloading the latest version from python.org, run the installer, enter your password, and verify the setup by launching Python and printing hello Python.
Download and Install VS Code Editor2:12
Install Visual Studio Code as your code editor, download the appropriate version for your operating system, open it, and install the official Python extension to start writing and running Python.
Write Your First Python program7:19
Learn python programming from scratch by writing and running your first python program in Visual Studio Code, creating a project folder, a .py file, and using print to display output.

What's a Variable? And How to Assign Value to Variables?5:29
Explore variables and data types by learning how to store values in boxes, assign with the equals operator, and print results in Python, including strings and numbers.
Basic Data Types: Strings, integers, floats, booleans5:00
Master string, integer, float, and boolean data types by assigning values with single or double quotes, printing results with the print function, and using true or false.
Type conversion4:30
Learn how to convert data types in Python, turning user input text into integers for calculations. Use int and float to perform arithmetic, and avoid mixing strings with numbers.
Getting Input from User: using input() function3:26
Learn to get user input in Python using the input() function, prompt for a name, store the answer in a variable, and greet the user with string concatenation.
Basic string Operations6:03
Learn basic string operations in Python, including string concatenation to form a full name from first and last names, and using print, upper, lower, and length methods.
Project: Build a Simple Bio Generator6:56
Build a simple bio generator in python by prompting for name, age, city, and a fun fact, then print a personalized bio using string concatenation.
Arithmetic operators12:48
Explore arithmetic operators in Python, including addition, subtraction, multiplication, division, floor division, modulus, and exponential, and learn to apply them in expressions and calculations.
Comparison operators6:52
Learn how to use comparison operators in Python, including equal to, not equal, greater than, less than, and the rules for greater than or equal and less than or equal.
Logical operators5:19
Learn how to combine conditions using logical operators and, or, and not in Python, with true/false outcomes, code examples, and a look at the order of operations using Pemdas.
Order of operations (PEMDAS)5:52
Conditional Statements8:31
Indentation rules3:41
Logical Conditions5:07
Nested conditionals3:28
Explore nested conditionals in Python that check age and ticket status to determine outputs such as welcome to the concert, you need a ticket, or you are too young.
Project: Grading System: Take user marks and print the grade.4:47
Build a Python grading system that takes user marks via input in the 0–100 range and prints the corresponding grade using conditional statements and an else block.
Explore the Rest Content | Must Read0:07

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.

Learn Python Programming from Scratch

What you'll learn

Explore related topics

Course content

Introduction7 lectures • 22min

Python Fundamentals16 lectures • 1hr 28min

Requirements

Description

Who this course is for: