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Python Foundations For Ai & Data Science

Category: Tutorials


Python Foundations For Ai & Data Science
Python Foundations For Ai & Data Science
Published 9/2025
Created by Sarveshwaran R
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 22 Lectures ( 5h 52m ) | Size: 4.6 GB




Master Python from scratch for AI ,Data Science & Projects
What you'll learn
Master Python Basics – Variables, data types, operators, and control flow to build a solid coding foundation
Work with Data Structures – Lists, tuples, dictionaries, and sets with hands-on examples.
Write Clean & Modular Code – Functions, loops, and error handling to structure programs effectively.
Apply Python to Real Problems – Small projects and exercises to practice logical thinking and problem-solving.
Requirements
No prior programming experience needed – this course starts from absolute basics.
Description
Are you a beginner, student, or early professional looking to start your journey into Data Science and Artificial Intelligence? This course is designed to give you a strong foundation in Python programming, the most essential skill for anyone entering the world of AI.We begin with the basics of Python programming, including setting up your environment with Anaconda and learning to work efficiently in Jupyter Notebook. You'll master essential programming concepts such as operators, precedence, typecasting, and modern string formatting. Step by step, you'll move into Python's powerful data types and structures—lists, tuples, sets, and dictionaries—learning how to use them effectively and apply them in real-world scenarios.From there, we'll explore conditionals, loops, and loop controls, which are critical for building logical programs. You'll also learn functions and modular programming, including Python's built-in functions, before applying this knowledge in a hands-on modular calculator project.The final module introduces you to Python for Data Science, where you'll gain practical experience with NumPy and Pandas. These libraries form the backbone of data analysis, and by the end, you'll be confident in using them for exploring and analyzing data.To reinforce your learning, you'll complete a mini-project: Resume Keyword Matcher, where you'll apply Python skills in a practical use case.By the end of this course, you'll have the foundational Python skills needed for Data Science and AI, setting you on the path to more advanced topics in machine learning and beyond.
Who this course is for
Absolute beginners who want to start programming with Python.
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