AI-Driven Data Analysis Bootcamp

Become a job-ready Data Analyst in 5 months using Excel, Google Sheets, SQL, Power BI and Python — starting from zero. No prior programming experience required. You will finish with 8 completed projects, 1 capstone dashboard, and a portfolio you can send to employers.

Twenty weeks across seven modules: Analyst Foundations, Spreadsheet Analytics (Excel & Google Sheets), Statistics for Analysts, SQL with PostgreSQL, Power BI for Business Intelligence, Python & Exploratory Data Analysis, and Career & Capstone. 40 live classes and 17 recorded labs, with two live classes per week on fixed days and times.

Six guided project builds run live in class, not assigned as homework — plus two Python EDA projects delivered as full recorded builds. AI is taught inside each tool — Excel, SQL and Power BI — with verification as the graded skill, not as a separate floating module. Recorded labs are released alongside each module and treated as required lab work, not optional extras. One weekly doubt-clearing session runs outside the class count, one short assignment follows every live class, and every live class is recorded and posted within 24 hours with a written catch-up checklist.

Class count: 38 core live classes + 2 capstone classes = 40 live. Recorded: 15 main labs + 2 career lessons = 17. Six of the 38 core classes are guided in-class project builds — two in Spreadsheet, two in SQL, two in Power BI — and two further EDA projects are delivered as full recorded builds in Python. AI is taught in two dedicated live classes (Spreadsheet and Power BI) plus a recorded SQL lab.

What you leave with:

• 8 domain projects — retail, RMG, e-commerce, MFS, FMCG, healthcare, telecom and banking — six built live in class, two as recorded Python EDA builds
• 1 graded end-to-end capstone, defended at Demo Day
• A published portfolio page and GitHub repository
• An analyst CV and LinkedIn profile for the Bangladesh market
• Checkpoint certificates at the end of Modules 1, 2, 3, 4 and 5
• Final course certificate on capstone completion
• Assignment after every live class, tracked and graded

Comfortable using a computer. That is all. No prior programming experience is required — the course starts from zero.

• Fresh graduates from any discipline looking for a first analytical role
• Working professionals in operations, merchandising, accounts, sales or admin who want to move into analytics
• Anyone who currently does reporting work manually and wants to do it properly

Roles you can apply for: Data Analyst · Business Analyst · MIS Executive · Reporting Analyst · Business Intelligence Executive · Operations Analyst. Hiring sectors: banks and MFS providers, RMG buying houses and factories, telecom, e-commerce, FMCG distribution, hospitals, NGOs and agencies.

Finish with 8 completed domain projects across retail, RMG, e-commerce, mobile financial services, FMCG distribution, healthcare, telecom and banking — six built live in class and two as recorded Python EDA builds — plus 1 graded end-to-end capstone defended at Demo Day. You leave with a published portfolio page and GitHub repository, and an analyst CV and LinkedIn profile written for the Bangladesh market.

Capstone requirement: raw messy data → SQL extraction, Power Query or pandas cleaning → documented model → Power BI dashboard → a one-page written recommendation. Graded on data handling (25%), modelling (20%), analysis quality (25%), visual communication (15%) and presentation (15%).