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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Event-Driven Pipelines with Lambda and S3
An event-driven pipeline starts work the moment a file arrives in S3. This guide explains S3 event notifications, writes a Lambda handler that validates and converts a real file, and runs it twice on the same event to show idempotency. It also covers encoded keys, loops, failure handling, and when to add a queue.
Azure Synapse Pipelines vs Standalone ADF
Synapse pipelines are built on Azure Data Factory, so most of what you know transfers. The gaps are few and specific: integration runtime sharing, the SSIS runtime, global parameters, Power Query and how deployment works. This guide lists each documented difference, what it means in practice, and how to choose.
Best Free Datasets for Data Science Practice in 2026
Free datasets for data science practice, organised by the skill you want to build: built-in data for learning algorithms, public-sector data for cleaning, large trip records for performance, text and image collections, dataset search engines, and a checklist for licence and quality.
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.
Web Analytics Basics: Understanding User Behavior
The basics of web analytics: how Google Analytics 4 measures a site with events, users, sessions, engagement and key events, how UTM tags attribute traffic, and what 12,330 real shop sessions reveal about browsing depth, new versus returning visitors and page value, including two numbers that mislead if read naively.
Calculation Groups in Power BI Explained
Calculation groups in Power BI explained: the measure explosion they solve, how SELECTEDMEASURE turns one expression into a calculation for every measure, a time intelligence group applied to two real measures, dynamic format strings, how precedence combines groups, and the limitations to check before adding one.