Training on Data Science with Python Computer Science & Engineering 29-06-2026 to 03-07-2026
The Skill Development Programme (SDP) on “Training on Data Science with Python” was designed to equip participants with industry-relevant skills required to work effectively in today’s data-driven environment. The programme focused on developing proficiency in Python programming, data manipulation, exploratory data analysis, statistical analysis, data visualization, and predictive machine learning. Participants were introduced to essential Python libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn, enabling them to work with real-world datasets and transform raw data into meaningful insights. The training emphasized a practical, hands-on approach through Python and Pandas bootcamps, exploratory data analysis exercises, data visualization workshops, predictive modelling sessions, feature engineering and preprocessing activities, and interactive learning exercises.
The programme successfully bridged theoretical concepts with practical applications by providing participants with opportunities to work on real-world datasets and industry-oriented analytical problems. Through predictive modelling labs, collaborative EDA challenges, and a comprehensive capstone project, participants strengthened their technical, analytical, and problem-solving abilities. The SDP enhanced participants’ confidence in developing data-driven solutions and using Python-based tools for informed decision-making. Overall, the programme served as an effective platform for skill development and professional growth, preparing participants to apply data science techniques in academic, professional, and industry settings.
