Python for Data Science – Jupyter, NumPy, Pandas, Matplotlib

Python is one of the most popular and powerful programming languages in the world, widely used in software development, automation, data analysis, artificial intelligence, and data science. This course is designed to help beginners learn Python programming step by step, starting from the absolute basics and gradually moving toward practical data analysis concepts.

In this course, you will begin with an introduction to Python and learn how to install and set up the development environment using Anaconda. You will then understand core programming concepts such as variables, data types, inputs and outputs, string operations, indexing, and slicing. As you progress, you will master Python collections including lists, tuples, sets, and dictionaries along with their real-world usage.

The course also covers operators, conditional statements, loops, and functions, helping you build strong programming logic and problem-solving skills. After building a solid foundation, you will be introduced to powerful Python libraries such as NumPy, Pandas, and Matplotlib, which are essential tools for data analysis and visualization.

This course focuses on clear explanations, practical demonstrations, and beginner-friendly learning so that anyone can start coding confidently. By the end of this course, you will have a strong understanding of Python programming and the ability to write programs, analyze data, and create visualizations.

Whether you are a student, working professional, or someone looking to start a programming career, this course will provide the skills needed to begin your Python journey with confidence.