AI-Driven Data Analysis Bootcamp (Offline)

A single in-person track that takes an absolute beginner to a working analyst — from cleaning a messy spreadsheet to publishing dashboards, writing production SQL, and delivering a full Python EDA. Every module is taught in full-day sessions, tool by tool, and ends in portfolio-ready projects.

Eighteen in-person classes across six modules cover spreadsheet analytics, statistics for analysts, Power BI, PostgreSQL and Python EDA, closing with a career toolkit. Self- paced recorded labs reinforce the Power BI and SQL work between sessions.

• Clean and structure an exported, unusable file into an analysis-ready table
• Build PivotTable dashboards and automate refreshes with Power Query and Power Pivot
• Apply descriptive statistics, distributions, outlier detection and A/B testing to real data
• Model a star schema and write DAX measures with correct filter context and time intelligence
• Write production SQL including joins, CTEs and window functions against PostgreSQL
• Run a complete Python EDA workflow and publish it as a portfolio notebook

• No prior programming or analytics experience required — the track starts from an absolute beginner baseline
• Comfort with a computer and a willingness to attend full-day in-person sessions

• Absolute beginners who want a working analyst skill set rather than isolated tool training
• Professionals moving into a data-facing role who need Excel, Power BI, SQL and Python in one track
• Graduates who need eight portfolio projects and a career toolkit to enter the job market

• 100% in-person delivery — every module taught tool by tool in full-day sessions
• Eight portfolio-ready projects built on real retail, RMG, hospital, e-commerce, telecom and banking scenarios
• Required recorded lab work reinforcing Power BI and SQL between classes
• CV, LinkedIn and portfolio building plus one-on-one career counseling