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
SQL Interview Questions: Top 50 with Answers
Fifty SQL interview questions with answers checked on PostgreSQL, DuckDB and SQLite against one small practice schema: evaluation order, NULL logic, joins and fan-out, window functions, dates, and performance, including where the three engines disagree.
Python Interview Questions: Top 50 with Answers
Fifty conceptual Python interview questions with short, precise answers, grouped by topic: basics, types and mutability, data structures, functions and scope, OOP, iterators and decorators, errors and files, and internals, with runnable examples for the ones people most often get wrong.
ChatGPT Complete Guide: Features, Prompts and Use Cases
ChatGPT went from a research preview to one of the most used software products in the world in under four years. This guide maps its main features and when they arrived, shows how to write prompts that work, sorts good uses from risky ones, and explains the limits every user should check for.
Excel vs Power BI: Which Should You Learn First?
Should you learn Excel or Power BI first? For most beginners, a slice of Excel first, then Power Query and the data model, which Excel and Power BI share, and then Power BI. Here is why, what each tool teaches on its own, and which to start with in your situation.
DAX Guide: Measures, Calculated Columns and Context
The foundations of DAX in Power BI: the five places a calculation can live, how to decide between a measure and a calculated column, what row context and filter context mean, why an averaged margin column came out at nearly double the true margin on real data, iterators, and habits for writing reliable measures.
MLflow Tutorial: Tracking Experiments and Models
MLflow records what produced each model so you never have to remember. This tutorial trains three models on real bike-sharing data, logs every run, compares them by querying the tracking store, registers the best one, points a champion alias at it and loads it back by that alias, all on a laptop.