IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics — written by GloryTecks trainers in Hyderabad.
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LangChain Tutorial: Build Your First LLM App
This LangChain tutorial builds a small meeting-notes assistant in four steps, using a free local model: a chat model, a prompt chain, structured output validated by Pydantic, and an agent with one tool. Everything ran, and the output also shows the mistakes a small model makes and how to catch them.
Power BI Projects to Build for Your Portfolio
Five Power BI portfolio projects, each proving a different skill (a star schema with time intelligence, performance on millions of rows, Power Query reshaping, row-level security and a report for a real user), with datasets you are allowed to publish and what a reviewer will check.
Python Mini Projects to Build in a Weekend
Weekend projects fail when they are too big to finish by Sunday night. The fix is scoping: a core you can build on Saturday and improvements for Sunday. Three mini projects are scoped that way here, a weather and bike-rental explorer, a safe file organiser and a habit tracker, with each Saturday core built and run.
How to Build a Data Analyst Portfolio in 2026
How to build a data analyst portfolio in 2026 that reviewers actually open and read: what they check in the first few minutes, a hub page and case-study structure for analyst work, publishing dashboards without exposing data you should not, presenting SQL and spreadsheets, and a checklist to run before you apply.
How to Build a Data Science Portfolio That Gets Interviews
How to build a data science portfolio designed for the few minutes a reviewer spends on it: which three projects to show, a README template that puts the result first, repository habits that signal professional work, when a live demo is worth it, and the red flags that get portfolios skipped.
How to Build a Data Portfolio Website
A data portfolio website is worth building when it does something GitHub alone cannot: present projects as short case studies a non-technical reader can follow. This guide covers the pages you need, a case-study structure, free static hosting on GitHub Pages within its documented limits, and a checklist.