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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Data Analyst Career Path: From Junior to Lead
The data analyst career path explained level by level: how the work changes from junior to mid-level, senior and lead, why promotions follow scope and influence more than tools, the branches into analytics engineering, BI, product analytics or data science, and how to show you are ready for the next step.
BigLake and External Tables in BigQuery
BigQuery can query files where they lie, through an external table or a BigLake table. Both point at the same files; what differs is who needs access to the bucket and how finely access can be controlled. This guide explains the difference with a worked access model, the DDL, metadata caching, limits and when to load.
GitHub Actions for ML: Automating Workflows
GitHub Actions can test, train and gate a model on every change. This guide writes a complete workflow for a real concrete-strength model, runs its test and training steps locally, and lints it with actionlint, which caught four of five planted mistakes and missed one that only a careful review would find.
ADF Performance Tuning: DIUs and Parallelism
Raising DIUs is the reflex when a Copy activity is slow, and it is often the wrong move. This guide explains what Data Integration Units and parallel copies control, their documented defaults and limits, how billing responds, when staged copy helps, and how to read the monitoring view to find the real bottleneck.
How to Learn Power BI in 30 Days: A Study Plan
A realistic 30-day Power BI plan: what to install and which free sample data to use, a concrete output for every day across four weeks of Power Query, data modelling and DAX, report design, and the Power BI service, mapped to the skill areas Microsoft lists for Power BI data analysts, and how to check progress.
How to Learn Python Faster: A Proven Study Plan
Most Python learners spend their time rereading tutorials and watching videos, the methods learning research rates least effective. Practice testing and spaced review work better. This guide applies them to Python, with a small program that turns Python's own documentation into cards and schedules review.