Python Programming: From Fundamentals To Data Analysis


Python Programming: From Fundamentals To Data Analysis
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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