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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All articles
Model Compression: Quantization and Pruning Explained
Quantization, pruning and distillation all promise smaller models. On a real sentence encoder and 3,080 banking queries, int8 weights cut the file by a third at no accuracy cost, quantizing activations too ran 125 times slower on this CPU, and pruning half the weights without retraining cost seven points.
SQL Query Optimization Interview Questions
Optimisation questions test whether you can explain why a query is slow, not just recite rules. Each answer here is measured on two million real electricity readings in SQLite, with the plan and the work done: indexes, functions on columns, composite and covering indexes, EXISTS, and pagination.
Time Series Interview Questions for Data Science
Time series interviews test whether you respect time: no peeking at the future, honest baselines, and metrics that do not mislead. Seven questions answered on four years of real hourly electricity use: baselines, autocorrelation, what a stationarity test misses, shuffled cross-validation, a leaky feature and MAPE.
Computer Vision Interview Questions and Answers
Computer vision interviews keep returning to one idea: why convolutional networks suit images. Here it is measured on 1,797 real handwritten digits. Shift the test images by one pixel and a dense network falls from 97.8% to 48.3% accuracy, while a convolutional network barely moves, and augmentation closes the rest.
Data Analyst Interview Questions and Answers
Data analyst interviews combine several rounds, each testing a different skill. This guide maps the rounds, gives the questions and the answers interviewers want for each, and works one realistic take-home task on real e-commerce data, where the obvious answer turns out to rest on three sessions.
Data Engineering Interview Questions and Answers
Data engineering interviews test whether you can move data reliably at the right scale. This guide maps the rounds with model answers, then works a design-round sizing task from real New York taxi data, where the numbers show that the obvious big-data design is the wrong one.