
Python Programming: From Fundamentals To Data Analysis
Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Master Python Fundamentals, Object-Oriented Concepts, and Essential Data Analysis Libraries.
What you’ll learn
Master core Python syntax, data structures, and programming constructs.
Understand and implement Object-Oriented Programming (OOP) principles effectively.
Utilize key libraries like Pandas and NumPy for efficient data manipulation and numerical computation.
Create informative data visualizations using libraries such as Matplotlib.
Gain practical experience applying scientific computing concepts with SciPy.
Develop problem-solving abilities through structured exercises and project work.
Complete a portfolio-ready data analysis project applying learned Python skills.
Requirements
Basic computer literacy and a genuine interest in learning programming and data analysis concepts.
Description
Overview
Section 1: Python Fundamentals
Lecture 1 Download all files here
Lecture 2 Introduction to Python
Lecture 3 Downloading Python and Vscode
Lecture 4 Algorithms and Programs
Lecture 12 Strings
Section 2: Object Oriented Programming
Section 3: Data Analysis
Section 4: Final Project
This course is designed for beginners with no prior programming experience. It’s also suitable for individuals looking to transition into data analysis roles, students needing foundational Python skills, or professionals aiming to add Python programming to their toolkit.

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