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.
Trending This Week
Data Scientist Salary in Hyderabad 2026: How Pay Grows From Fresher to Senior
Data Science · 7 min
ChatGPT Complete Guide: Features, Prompts and Use Cases
Generative AI · 5 min
Python Interview Questions: Top 50 with Answers
Python · 10 min
DAX Guide: Measures, Calculated Columns and Context
Power BI · 6 min
All articles
Agentic AI Roadmap 2026: From Prompts to Autonomous Systems
Agentic AI is the most hyped corner of generative AI and the easiest to learn in the wrong order. This roadmap builds it in seven stages, from reliable prompts and structured output through retrieval and tools to workflows, agents and production safeguards, with something to build at each stage.
Power BI Dataflows Explained for Beginners
Power BI dataflows for beginners: what a dataflow is, why Microsoft calls Gen1 legacy and recommends Dataflow Gen2 where Fabric is available, the problems dataflows solve, from reusable preparation to protecting sources, when not to use one, how to create and refresh one, and design habits that keep them useful.
SQL Joins Interview Questions Explained
Join questions in interviews are rarely about syntax. They test whether you can predict how many rows come back. These nine questions, each answered with a query on three million real New York taxi trips, cover anti-joins, ON versus WHERE, NOT IN with NULLs, fan-out, self-joins, calendars and full outer joins.
Window Functions SQL Interview Questions
Interviewers use window functions to see whether you understand how SQL evaluates a query, not just the syntax. These nine questions, each answered with a query run on two years of real bike rentals, cover ranking ties, top N per group, running totals, the default frame trap, gaps and islands, and filtering.
Statistics Interview Questions for Data Science
Statistics questions in data science interviews test judgement more than formulas. Eight common questions are worked here on 12,330 real online shopping sessions: skewed averages, standard error, p-values two ways, a bootstrap interval, a confounder in a weekend effect, multiple testing, outliers and sample size.
Incremental Data Loading in Azure Data Factory
Incremental loading copies only what changed since the last run. This guide explains the four approaches Azure Data Factory documents, builds the watermark pattern step by step, runs it on a real table to show what it catches and what it silently misses, and says when to use change tracking, dated folders or windows.