Guides on AI, data and careers in Bangladesh, written by the people who teach our classes.
A step-by-step guide to building an AI-augmented data workflow — integrating AI into SQL, cleaning, analysis, and reporting — with a complete example workflow and the rules that keep it professional.
Which AI skills actually matter for your career in 2026? A practical, hype-free guide to the AI competencies every professional needs — from prompting and verification to workflow integration.
Worried AI will take data analyst jobs? Here's the honest, evidence-based answer — what AI actually automates, what it can't, and how the analyst role is evolving rather than disappearing.
A hands-on guide to using AI assistants like ChatGPT and Claude for data analysis — writing SQL, cleaning data, debugging, and reporting — with real prompts, workflows, and safety rules.
AI is transforming what data analysts do daily — from writing SQL to building dashboards. Learn what's changing, which skills matter more now, and how to become an AI-augmented analyst.
Machine learning isn't futuristic — you already use it daily. Explore 10 real ML applications in your everyday apps, from photo search and voice typing to fraud alerts and navigation.
Predictive analytics lets companies forecast churn, demand, risk, and revenue before it happens. Learn how it works, real business examples, common techniques, and how to build predictive skills.
How do Netflix, YouTube, and Amazon know what you'll like? Learn how recommendation systems work — collaborative filtering, content-based methods, and hybrid models — explained simply.
Confused by AI, machine learning, and deep learning? This clear guide explains how the three relate, how each works, real examples of each, and which one powers the tools you use daily.
What is machine learning, really? This beginner-friendly guide explains how machines learn from data — with everyday examples and zero math — plus how to start learning ML yourself.
