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Data Analysis With Python A to Z | Arabic
Highest Rated
Rating: 4.8 out of 5(16 ratings)
404 students

Data Analysis With Python A to Z | Arabic

Learn Python fundamentals, OOP, Pandas, NumPy, Data Analysis, Data Visualization, Kaggle, and real-world projects
Highest Rated
Created bySPITZE AI
Last updated 4/2026
Arabic

What you'll learn

  • Python for Data Science and AIPython for Data Science and AI – Beginners who want to learn Python for data science and artificial intelligence. Ideal for studen
  • Data Analysis with Python – Aspiring data analysts, business professionals, and researchers looking to explore, clean, and analyze data using Python libraries l
  • Data Visualization with Python – Learners who want to master the art of storytelling with data using Matplotlib and Seaborn to create insightful visualizations.
  • Kaggle Learn – Those who want hands-on experience with Kaggle’s learning platform, working on real-world datasets and challenges to improve their data science s
  • Projects – Anyone looking to apply their knowledge by building real-world projects that reinforce key concepts in data analysis and visualization. Perfect for p

Course content

13 sections • 53 lectures • 15h 9m total length

  • Introduction1:55

Requirements

  • There are no prerequisites for this course!
  • All concepts are explained from scratch in a clear and structured way.

Description

This course is designed to take you from the fundamentals to real-world data analysis using Python, even if you have no prior experience. You will start by learning Python basics and Object-Oriented Programming (OOP) to build a strong programming foundation.

Next, you will dive into data analysis using the most important libraries, including NumPy and Pandas, where you will learn how to clean, manipulate, and analyze data efficiently. The course also covers Data Visualization, helping you present insights clearly using charts and graphs.

In addition, you will learn how to work with Kaggle, explore real datasets, and apply your skills in practical scenarios. To ensure hands-on experience, the course includes five real-world projects that simulate real data analyst tasks and help you build a strong portfolio.

By the end of this course, you will have the skills and confidence to analyze data, extract insights, and apply data analysis techniques in real projects or professional environments. This course is ideal for beginners, students, and professionals who want to enter the data field or enhance their analytical and programming skills using Python, preparing you for real job requirements, interviews, and practical data analysis challenges and build a strong foundation for long-term career growth.

Who this course is for:

  • This course is for all skill levels

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