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.
All articles
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.
Portfolio Building: Projects That Impress Recruiters
Recruiters and hiring managers spend minutes, not hours, on a portfolio, so a project has to show its value fast. This guide gives the rubric a reviewer applies to any tech or data project, a README structure based on GitHub's guidance, the licence checks most portfolios skip, and how to reuse each project.
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.
Data Engineering Projects for Your Portfolio
Five data engineering projects for a portfolio, each on a real public dataset: a tested batch pipeline and warehouse on NYC taxi data, an orchestrated ingestion of live earthquake feeds, change capture with history on a sample store database, a streaming pipeline on Wikipedia edits, and a Spark job on GitHub events.
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.
Top Generative AI Projects to Build for Your Portfolio
Most generative AI portfolios are chatbot demos that look alike. This guide proposes eight projects, from a structured extractor to an agent over a database, each built on a public dataset with a clear licence and each with a measurement to report, so the portfolio shows engineering rather than enthusiasm.