Our Data Science course provides a structured path from data acquisition to machine learning and visualization. Topics include exploratory data analysis, feature engineering, model evaluation, and dashboard creation. Students work on case studies and capstone projects to build a strong portfolio.
Full-stack training from data wrangling to machine learning.
Tools covered: Pandas, NumPy, Matplotlib, Seaborn, Tableau.
Capstone projects based on real-world datasets.
Training on EDA, feature engineering, and data pipelines.
Emphasis on storytelling with data via dashboards.
Access to mentorship and project reviews.
Industry certification after course completion.