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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Migrating to BigQuery: A Practical Playbook
Moving a warehouse to BigQuery is less a copy job than a proof: that the SQL still means the same thing and the numbers still match. This playbook follows Google's iterative method, then reproduces two steps locally: a translator that gets one statement wrong, and a copy that passes row counts while 23 rows differ.
A/B Testing for Data Scientists: A Practical Guide
A/B testing from design to decision: one primary metric, calculating the sample size before launch, analysing conversion with a two-proportion test and a confidence interval, checking for sample ratio mismatch, and avoiding the traps (peeking, many metrics, novelty) that produce confident wrong answers.
How to Switch Careers After 30: A Practical Guide
People do move into tech after 30, though they are a small minority, and once there they are as satisfied as everyone else. Survey data from nearly 29,000 working developers and data professionals shows how common late starts are, which roles late starters hold, and what a realistic switch looks like.
How to Tell a Story with Data: A Practical Framework
A framework for telling a story with data: five steps, context, change, cause, consequence and choice, organised with the main message first so the audience never gets lost, applied to a real online retailer's year from a flat summer to a pre-Christmas surge, with the chart for each step and the traps to avoid.
Customer Segmentation for Analysts: A Practical Guide
Customer segmentation for analysts, worked through on a real online shop's 4,293 customers: computing recency, frequency and monetary value, scoring them into quintiles, turning scores into named segments, finding that a quarter of customers bring two thirds of revenue, and deciding what to do with each group.