Build real data pipelines, create visualizations, and deliver actionable insights through structured projects and mentor feedback.
Analyze real datasets, build ETL pipelines, create interactive dashboards, and present insights to stakeholders.
Setup development environment, Python basics, data types and structures
DataFrames, cleaning, transforming, and aggregating data
Queries, joins, aggregations, and database fundamentals
Statistical analysis, hypothesis testing, finding patterns
Matplotlib, Seaborn, creating compelling visual stories
Define project scope, gather data, initial analysis
Build analysis pipeline, create visualizations
Technical documentation, final presentation, portfolio packaging
Students in their 2nd/3rd/4th year of engineering, BCA, MCA, or related fields
Weekly 1-on-1 mentor reviews, code feedback, and career guidance sessions
Refund available if requested 48 hours before start. View policy
