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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S3 vs EBS vs EFS: AWS Storage Compared
S3, EBS and EFS are three different kinds of storage: objects reached over an API, a disk attached to one server, and a file system shared by many. This comparison explains how each is accessed, what it can and cannot do, how it scales and is billed, and which suits a data lake, a database, or shared working files.
Databricks Tutorial: A Beginner's Guide
A first walk through Databricks: what the platform adds to Spark and Delta Lake, getting started with the no-cost Free Edition and its limits, notebooks and language magic commands, exploring the NYC taxi sample table, saving results as a governed Delta table in Unity Catalog, and scheduling it with Lakeflow Jobs.
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.
Supervised vs Unsupervised Learning: A Clear Comparison
Supervised versus unsupervised learning, shown on the same real data: a classifier that learns from labels, a clustering that finds the same groups without them, why scaling decided whether it could, how to judge clusters when no labels exist, and how a few labels plus unlabelled data can beat labels alone.
GCP IAM Explained: Roles, Policies and Security
Google Cloud IAM answers one question, who can do what on which resource, with three parts: a principal, a role and a resource. This guide explains each, shows how access is inherited down the hierarchy and how deny policies override it, with a worked model on BigQuery roles, and sets out least-privilege practice.
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%.