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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Computer Vision Basics: From Pixels to Predictions
Computer vision from the ground up: what an image is to a computer, how a convolution filter finds edges, a small convolutional network trained on handwritten digits against a pixel baseline, the main vision tasks from classification to segmentation, and why transfer learning is the default.
GCP Networking Basics for Data Engineers
Most data services on Google Cloud need no network setup, until a job must run on private addresses or reach a database. This guide covers VPC networks, subnets, firewall rules, Private Google Access, Cloud NAT and service perimeters, and sizes subnets for pipeline workers with a short script.
Distributed Systems Basics for Data Engineers
The distributed systems ideas behind Spark, Kafka and cloud warehouses, for data engineers: partitioning and hot keys, why modulo hashing moved 74% of real taxi data when a node was added and consistent hashing 23%, replication, what CAP really says, failures and retries, and why clocks cannot be trusted.
Power Query M Language Basics for Beginners
The basics of the Power Query M language for Power BI and Excel users: how a query is built from let and in, why every step refers to the one before, case sensitivity, lists, records and tables, functions and the each shorthand, how to read the code the editor generates, and the hand edits that are worth making.
Data Governance Basics Every Analyst Should Know
Data governance explained from an analyst's desk: who owns data and definitions, the six dimensions of data quality, handling personal data responsibly with reference to India's Digital Personal Data Protection Act, documenting lineage, certified datasets in BI tools, and a checklist for before you publish a report.
Web Analytics Basics: Understanding User Behavior
The basics of web analytics: how Google Analytics 4 measures a site with events, users, sessions, engagement and key events, how UTM tags attribute traffic, and what 12,330 real shop sessions reveal about browsing depth, new versus returning visitors and page value, including two numbers that mislead if read naively.