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

Learn Python Programming from Scratch with Data Types, Loops, Functions, NumPy, Pandas & Data Visualization

What you’ll learn
✓ Introduction of Python
✓ Installation of Anaconda & Comments
✓ Variables in Python
✓ Python Outputs
✓ Fundamental Data Types
✓ String Methods
✓ Indexing & Slicing
✓ Inputs in Python
✓ List in Python
✓ List Methods in Python
✓ Tuples in Python
✓ Sets in Python
✓ Dictionary and Range in Python
✓ Bytes & Bytearray in Python
✓ Frozenset & NoneType in Python
✓ Operators in Python
✓ Conditional Statements
✓ For Loop
✓ While Loop
✓ Introduction of Functions
✓ Functions with Arguments
✓ Introduction to NumPy
✓ Modules in Python
✓ Accessing Elements in NumPy
✓ Introduction of Pandas
✓ Accessing Elements in Pandas
✓ Introduction of Matplotlib
✓ Bi-Variate Plots in Matplotlib

Requirements
● No prior programming experience is required — this course starts from absolute basics.
● A computer or laptop
● Basic knowledge of using a computer and the internet.
● Willingness to learn and practice Python programming.
● Internet connection to install required software such as Python / Anaconda.
● No prior knowledge of Data Science, NumPy, Pandas, or Matplotlib is needed.

Description
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.

Who this course is for
■Beginners who want to learn Python programming from scratch.
■Students and graduates looking to start a career in software development or data science.
■Working professionals who want to add Python skills to their profile.
■Developers from other technologies who want to transition into Python.
■Anyone interested in learning programming, automation, or data analysis.
■Data science and analytics beginners who want to learn NumPy, Pandas, and Matplotlib.
■IT professionals preparing for Python interviews.

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