Data Science Fundamentals
Teacher
Prof. Dr. Basheer Ahmad SamimLast Update
06-December-2025
- Discription
Course Overview
This beginner-level course introduces the essential components of data science including data collection, data cleaning, visualization, and basic statistical analysis. It's designed to help learners grasp the data science workflow from start to finish using real-world examples.
Requirements
Before enrolling, ensure you meet the basic prerequisites. These may include foundational knowledge, necessary tools, or specific skills required to fully benefit from the course. Check the list of requirements to make sure you're prepared for a smooth learning experience!
- Basic computer skills
- high school math
- curiosity about data
Description
Students will learn how to handle raw data, clean it using Python and Excel, and present meaningful insights through visualizations. The course includes practice with data analysis tools like Jupyter Notebooks, Pandas, and Matplotlib. Fundamental statistics and probability concepts will be explained in a practical context. By the end, learners will complete a small data project and be prepared for intermediate-level data science topics. Real-world examples from business and health sectors will be included.
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