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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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.
Power BI Roadmap 2026: From Beginner to Job-Ready
A stage-by-stage Power BI roadmap from a first report to job-ready skills: preparing data, modelling, DAX, report design, publishing and security, then proof through projects, with a concrete checkpoint that shows when each stage is done, the role Microsoft describes for Power BI analysts, and common detours.
Business Analytics Explained: A Beginner's Guide
Business analytics explained for beginners: what it is for, the four types of analytics and the business question each answers, the process that turns a question into a decision, the roles and tools involved, and a worked example on a real online shop's sales that goes from what happened to why it happened.
From Power BI Beginner to Developer: A Career Roadmap
Learning Power BI is one roadmap; building a career on it is another. This guide follows the roles, from report author to BI developer and analytics engineer, with what each one owns, what employers' official descriptions say the work involves, and where Microsoft's PL-300 and DP-600 certifications fit along the way.
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.
Time Series Forecasting: A Beginner-Friendly Introduction
A beginner-friendly introduction to time series forecasting on 36 years of real monthly CO2 measurements: what trend and seasonality are, why simple benchmark methods matter, how Holt-Winters combines both patterns, and how to test forecasts honestly by repeatedly forecasting the next year from past data only.