This Python for Data Science course is a practical, hands-on program designed to help you build real-world data analytics skills باستخدام Python. It combines theory with projects to give you a complete understanding of how data science works in real business environments.

The course starts with Python basics for data analysis, including data exploration, cleaning, filtering, grouping, and preprocessing. You will also learn descriptive statistics and how to merge and join datasets efficiently.

As you progress, you will explore data visualization techniques using Python to present insights clearly. A key highlight of the course is the A/B testing module, where you will learn how to design experiments, analyze results, and make data-driven decisions.

The course includes two full real-world projects. The first focuses on A/B testing and statistical analysis, helping you understand experimental design and result interpretation. The second project covers business intelligence, including customer segmentation, sales analysis, and market insights.

By the end of this course, you will have strong practical experience in Python, data analytics, and business intelligence, making you ready to work on real data science projects confidently.