This is a practical, hands-on course designed to introduce learners to Data Science, Python programming and tools needed for Machine Learning. Through clear lessons, real-world examples, live labs, quizzes, programming projects, and complete applications, you will learn how data is analyzed, how machine learning models are built and trained, and how Python-based tools are used to solve practical problems. The course builds a strong foundation in Python, statistics, NumPy, Pandas, Matplotlib, Scikit-learn, data preparation, and feature engineering, helping you gain confidence in working with data, algorithms, and intelligent systems across real-world professional settings.
- Teacher: Emmanuel Asante
- Teacher: Github Grader
- Teacher: Dr. Raju Pandey