Data Science fundamentals with Python

This course is designed for beginners who want to learn Data Science from the basics in a simple and practical way. No prior Data Science experience is required. Students will learn how data is collected, cleaned, analyzed, visualized, and used to build machine learning models.

The course covers Python for Data Science, NumPy, Pandas, SQL, data cleaning, exploratory data analysis (EDA), data visualization, basic statistics, feature engineering, machine learning algorithms, and model evaluation. Students will work with practical datasets and beginner-friendly projects to understand how Data Science is applied to real-world problems.

The sessions will be interactive and step-by-step, with explanations, coding practice, and hands-on exercises. Students should have a laptop with an internet connection. Python and other required tools can be installed with guidance during the course.

The course is suitable for students, beginners, and anyone interested in developing practical Data Science skills with confidence through continuous practical learning.