PYTHON: Python Programming - From Basics to Data Analysis

In Just 4 hours Master Python Fundamentals, Object-Oriented Concepts, and Essential Data Analysis Libraries.

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Description

This comprehensive course provides a structured path to mastering Python programming, starting from the absolute basics and progressing to practical Data Analysis applications.

Over several modules, you will build a solid foundation in programming principles before advancing to more complex topics. The initial lessons cover core Python syntax, including Variables, Operators, Control Flow (Conditionals and Loops), and Functions. You’ll reinforce your knowledge through multi-part lessons with hands-on activities, interactive challenges, and clear examples designed to support consistent learning.

Next, the course moves into Object-Oriented Programming (OOP), introducing essential concepts like Inheritance, Encapsulation, and Polymorphism. These are explored through practical examples and applied in a dedicated OOP Project.

After OOP, you’ll explore Python’s powerful ecosystem for Data Analysis. Dedicated sections cover widely used libraries:

Pandas for data manipulation

NumPy for numerical computing

Matplotlib for visualizations

SciPy for scientific calculations

You'll gain hands-on experience with real-world datasets, developing both your technical and analytical thinking.

To conclude the course, you’ll apply everything you've learned in a Capstone Project focused on Exploratory Data Analysis (EDA). Working with the Titanic dataset, you’ll demonstrate your ability to clean, analyze, and visualize data — creating a project you can proudly showcase in your portfolio.

What You'll Gain from This Course:

A complete understanding of Python programming, from beginner to intermediate level

Practical experience with Object-Oriented Programming (OOP)

Hands-on training with essential libraries for data analysis

Confidence to manipulate, analyze, and visualize datasets

A portfolio-ready final project showcasing your skills in action

A strong foundation to pursue data science, automation, or software development

Who this course is for:

• This course is ideal for beginners with no prior programming experience.
• It also suits those transitioning into data analysis roles.
• Students seeking strong Python fundamentals will benefit greatly.
• Professionals can enhance their toolkit with practical Python skills.