This course is tailored to empower faculty with both practical and theoretical expertise in data mining, analytics, and Python programming, enhancing their teaching and research proficiency. It focuses on critical areas such as data preprocessing, exploratory data analysis, statistical testing, machine learning models, and time series analysis, along with an introduction to big data analytics. Participants will gain foundational knowledge in data analytics, learn effective data cleaning and analysis techniques, and develop advanced analytical skills. Hands-on projects will equip them to apply these techniques to real-world challenges, enriching their academic and professional endeavors