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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Azure Data Engineer Certification (DP-203) Guide
Exam DP-203 and the Azure Data Engineer Associate certification were retired on 31 March 2025. This guide explains what that means for people who hold it or were studying for it, what the exam covered, how the Fabric Data Engineer Associate exam DP-700 differs, and how to plan your preparation now.
Fine-Tuning vs RAG: Which Should You Choose?
Fine-tuning and RAG are often presented as rivals. They change different things: retrieval gives a model facts to read, and fine-tuning changes how it behaves. This guide shows the difference with a test on a local model, summarises the research and gives an order to try things in.
Power BI Performance Tuning: Make Reports Faster
A method for making Power BI reports faster: measure first with Performance Analyzer and read its DAX query, visual display and other timings, then shrink the import model, reduce column cardinality on a real retail dataset, write lighter DAX, filter and simplify pages, and check capacity and gateways.
From Excel to SQL: A Smooth Transition Guide
A transition guide from Excel to SQL that starts from what you already know: filters become WHERE, SUMIFS becomes GROUP BY, XLOOKUP becomes a join, COUNTIFS and IF become CASE, and pivot tables become conditional aggregation, each shown as a real query with its output, plus the mindset shifts and pitfalls to expect.
How Large Language Models (LLMs) Work Under the Hood
A large language model does one thing: given some text, it scores every possible next token. Everything else, from chat to code, is that step repeated. This guide follows the step with real numbers from GPT-2 running on a laptop, then explains training, temperature and why fluent text is not always true.
Tableau Interview Questions and Answers
Tableau interviews return to one topic more than any other: when each calculation happens. This guide answers the core questions on FIXED, INCLUDE and table calculations, with the Tableau formulas and their results reproduced on a year of real online orders: one filter, two answers, 100% or 2.57%.