Python Foundations for AI & Data Science
Python Foundations for AI & Data Science
Published 9/2025
Duration: 5h 52m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 4.61 GB
Genre: eLearning | Language: English
Published 9/2025
Duration: 5h 52m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 4.61 GB
Genre: eLearning | Language: English
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 intoData Science and Artificial Intelligence? This course is designed to give you astrong foundation in Python programming, the most essential skill for anyone entering the world of AI.
We begin with thebasics 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 asoperators, precedence, typecasting, and modern string formatting. Step by step, you’ll move into Python’s powerfuldata 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 exploreconditionals, loops, and loop controls, which are critical for building logical programs. You’ll also learnfunctions and modular programming, including Python’s built-in functions, before applying this knowledge in ahands-on modular calculator project.
The final module introduces you toPython for Data Science, where you’ll gain practical experience withNumPy 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 amini-project: Resume Keyword Matcher, where you’ll apply Python skills in a practical use case.
By the end of this course, you’ll have thefoundational 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.
More Info