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.
Featured Guides
Data Science Roadmap 2026: A Complete Step-by-Step Guide
A data science roadmap in dependency order, from Python and SQL through cleaning, statistics and honest model evaluation to communicating results, with an exit test at every stage and one dataset that carries through the whole path.
What Is Generative AI? A Complete Beginner's Guide
What generative AI is, in plain language: how language models produce text one token at a time (shown with a tiny runnable model), how chat models are trained, how image models differ, what the technology is reliable for, and why it confabulates.
Learn Python from Scratch: A Complete 2026 Roadmap
How to learn Python from zero: install a current version (including the new Windows install manager), then work through seven stages, from values and loops to files, virtual environments, classes and tests, each ending with a small program you should be able to write on your own.
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Building a Prediction API: A Complete Walkthrough
A prediction API can return confident, well-formed and completely wrong answers. This walkthrough builds a FastAPI service for a real model and the four tests that catch what usual API tests miss: a feature-order bug, inputs that should be refused, a NaN that crashes the error handler, and batch results that drift.
BigQuery Best Practices for Analysts
An analyst can go wrong in BigQuery in three ways: a wrong number, a wasted scan, or a result nobody can reproduce. This guide gives a routine for each, with four correctness checks on 2.9 million real trips: NULL counts, filters that lose rows, days that shift with the time zone, and a join that adds rows.
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.
MLOps vs DevOps vs DataOps: Key Differences
DevOps, DataOps and MLOps share a philosophy, automation and fast feedback, but they manage different things that fail in different ways. This guide compares them side by side, explains what machine learning adds that DevOps alone does not handle, and shows how the three fit together in a real team.
Power BI Slicers: Sync, Hierarchies and Best Practices
A practical guide to Power BI slicers: which slicer type suits which filter, slicers versus the Filters pane, syncing slicers across pages and in groups, hierarchy slicers and ragged hierarchies, why Select all stores an is-not filter, shown on real data after a refresh, edit interactions, and Apply all buttons.
Redshift Spectrum: Querying S3 from Redshift
Redshift Spectrum lets Amazon Redshift query files in S3 through external tables and join them with tables stored in the warehouse. This guide covers external schemas and the shared catalog, which operations are pushed down, partitions and file formats, cost, and a hot and cold data pattern.