Published 8/2025
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 4h 11m | Size: 3.71 GB
In Just 4 hours Master Python Fundamentals, Object-Oriented Concepts, and Essential Data Analysis Libraries.
What you’ll learn
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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
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 manipulationNumPy for numerical computingMatplotlib for visualizationsSciPy for scientific calculationsYou’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 levelPractical experience with Object-Oriented Programming (OOP)Hands-on training with essential libraries for data analysisConfidence to manipulate, analyze, and visualize datasetsA portfolio-ready final project showcasing your skills in actionA strong foundation to pursue data science, automation, or software development
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