Python Programming - From Basics to Data Analysis

Python Bootcamp: In 4 hours 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
This comprehensive course provides a structured path to mastering Python programming, starting from the absolute basics and progressing topractical 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, includingVariables,Operators,Control Flow(Conditionals and Loops), andFunctions. 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 intoObject-Oriented Programming (OOP), introducing essential concepts likeInheritance,Encapsulation, andPolymorphism. These are explored through practical examples and applied in a dedicatedOOP Project.

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

Pandasfor data manipulation

NumPyfor numerical computing

Matplotlibfor visualizations

SciPyfor scientific calculations

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

To conclude the course, you’ll apply everything you've learned in aCapstone 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.
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