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.
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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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Dataform vs dbt on GCP: A Comparison
Dataform and dbt solve the same problem: turning raw warehouse tables into tested, documented ones with SQL under version control. This comparison writes the same two models and tests in each, builds the dbt version on DuckDB, compiles the Dataform version locally, then sets out the differences that matter.
Probability Interview Questions for Data Science
Probability questions reward one habit above all: check your answer two ways. Eight classic and data-based questions are solved here with exact fractions and with simulation, then on 12,330 real shopping sessions, where the binomial answer turned out wrong for a reason worth explaining in an interview.
Feature Stores Explained: Why Teams Need Them
A feature store keeps the features a model trains on and the features it is served the same. This guide builds one with Feast on a year of real retail orders and shows the problem it solves: a naive join that looked better in validation, 0.798 against 0.727, then did worse in production.
BigQuery Window Functions and Analytic SQL
A window function computes a value for each row from a set of related rows, without collapsing them. This guide works through running totals, moving averages, period change, share of total and top-per-group on 2.9 million real trips, then shows the two frame mistakes that return wrong numbers without an error.
Ollama Tutorial: Run LLMs Locally on Your Machine
Ollama runs open language models on your own computer with one install. This tutorial walks through the command line, the REST API, conversation history, the OpenAI-compatible endpoint and a custom model built from a Modelfile, all run on an ordinary laptop, with the settings and limits worth knowing.
Linux Interview Questions for Data Engineers
Linux rounds for data engineers are about handling data files from the command line and writing shell steps that fail loudly. Eight questions are answered with real commands on a 2-million-line electricity file and the NYC taxi zone table: sizing files, awk sums, counting, pipefail, parallel chunks, find, export.