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
Overfitting and Underfitting: Causes and Fixes
Overfitting and underfitting diagnosed and fixed on 19,020 real telescope readings: how train and validation scores reveal each problem, how depth limits, pruning, ensembles and early stopping change them, what a learning curve says about collecting more data, and why a 100% training score is not always a problem.
Pandas vs SQL for Data Analysis: When to Use Which
Pandas versus SQL for data analysis, compared on the same real dataset: identical answers from a GROUP BY and a groupby, a moving average as a window function and as rolling, a pivot that is one line in pandas and many in SQL, and why filtering in the database first matters when data is large.
Regression vs Classification: When to Use Each
Regression or classification? The difference is simple, but choosing the framing is not always obvious. This guide shows how the target and the decision should decide it, then tests both framings on wine quality scores that can be modelled either way, including a yes-or-no question where the framing clearly mattered.
Building a Sales Dashboard: A Hands-On Project
A hands-on sales dashboard project built on a real online retailer's 541,909 transaction lines: agreeing the questions and KPIs, removing cancellations, postage and fees, computing monthly revenue, orders and average order value, finding the breakdowns that matter, and laying it out so key numbers are read first.
Correlation vs Causation: A Must-Know for Analysts
Correlation versus causation for analysts, shown on real data rather than silly examples: how time of day turns humidity into an apparent driver of bike rentals, why unrelated trends correlate so often, the other ways correlations mislead, and the practical steps analysts use to move from an association to a cause.
Data Analytics Projects for Your Resume
Seven data analytics projects for a resume, each on a real, openly licensed dataset and framed as a business question: sales and returns, customer retention and value, bike-share operations, a SQL business review, country indicators, a developer survey and an Indian public dataset, with the skills each proves.