Introduction to Data Science Class with Onoja

In this series, I introduced key concepts such as handling missing values, data imputation, feature engineering, and understanding statistical distributions to prepare students for hands-on sessions in Python and R. Additionally, I covered strategies for applying to scholarships, including tips on standing out as a prospective student from a developing country like Nigeria.