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 Scientist Salary in Hyderabad 2026: How Pay Grows From Fresher to Senior
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ChatGPT Complete Guide: Features, Prompts and Use Cases
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DAX Guide: Measures, Calculated Columns and Context
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All articles
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.
Scenario-Based SQL Interview Questions
Scenario questions give you a business problem instead of a SQL topic, and the data usually hides a trap. These eight scenarios are solved on a year of real online retail orders, with real traps: duplicate lines, a partial final month, missing customer IDs and a huge order cancelled twelve minutes later.
Vertex AI Pipelines for MLOps on GCP
A model trained once in a notebook goes stale. A pipeline retrains it the same way every time and decides whether the new one is good enough. This guide explains components, artifacts and the compiled graph on what was Vertex AI Pipelines, and compiles and runs a retraining pipeline with a promotion gate.
From College to Corporate: A Fresher's Survival Guide
College rewards individual answers to set questions; work rewards reliable contributions to shared, messy problems. The eight career readiness competencies that US employers and universities use describe the shift well. This guide maps each one to concrete habits for a fresher's first year in a tech or data job.
How to Get Your First Data Job with No Experience
Newcomers are a minority in data roles, but they do get hired, and the data shows where: smaller companies, internships that convert, and roles where learning on the job is expected. Answers from 282 data professionals in their first two years show the doors that open most often.
Synthetic Data Generation with LLMs: A Practical Guide
Language models can produce training examples on demand, which is tempting when real data is scarce. This guide generates customer messages for five banking intents with a local model, compares them with real ones, and trains the same classifier on synthetic, real and mixed data, tested on 200 real messages.