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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Forecasting in Excel: Simple Methods That Work
Forecasting in Excel with simple methods that work: the formula for each, from repeating last month to a moving average, FORECAST.LINEAR, a trend times seasonal index and FORECAST.ETS, plus an honest test on a real monthly series where the right simple method cut the error from over 40% to 12%.
Building a Finance Dashboard in Power BI
A Power BI finance dashboard built on Microsoft's Financial Sample workbook: two data traps to fix on import, core measures for sales, profit, margin and discount rate, reconciling totals before any visual, a profit bridge, a segment that loses money, what discounts do to margin, and a layout for finance users.
Model Versioning with MLflow and DVC
A model version is only useful if you can say what produced it. This guide combines DVC for data with MLflow for models, so each registered version records its data hash and Git commit, then rebuilds an old version from that record alone and checks that the predictions come out identical.
Data Partitioning Strategies in ADF Copy Activity
A large table copied through one query is limited by one connection. This guide explains the partition options of the Azure Data Factory Copy activity, how dynamic range bounds really work, how to choose a partition column, with skew measured on 2.9 million real rows, and how partitioning applies to files.
How to Get Recruiters to Notice Your Profile
Recruiters do not browse profiles; they search with filters for job titles, skills, location, companies and more, and can isolate candidates open to work. Seeing your profile through those filters, as LinkedIn's Recruiter documentation describes them, shows exactly what to change.
Testing Machine Learning Code and Data
ML code can pass every unit test and still ship a broken model, because data and model behaviour need tests of their own. This guide writes nine pytest checks for a real model, covering schema, invariants, plausibility, a baseline gate and behaviour, and one catches a genuine sensor fault in the data.