Python for Data Science

This course is designed to equip students with the skills and knowledge required to effectively manipulate, analyze, and visualize data using Python. The course covers several crucial topics, including NumPy and Pandas libraries for data manipulation and analysis, data cleaning and preparation, data visualization and case studies that demonstrate how to apply these skills in real-world data science projects.

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Entry requirement:

• The course is taught in small group (max 6).

• The minimal age to enroll is year 7.

• Prerequisites:Python Advance

• Submit the coursework before the deadline.

• The course duration is a minimum of 20 weeks

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Goals:

The outcome of this course is the ability to efficiently work with data using the Python , including the skills to clean, process, and make sense of large datasets, as well as to create compelling visualizations and gain insights through statistical analysis. By completing this course, students will establish a strong foundation of knowledge that will prepare them for advanced coursework in machine learning.