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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Azure Data Engineering Projects for Your Portfolio
Five Azure data engineering projects for a portfolio, each on real public data and each built to demonstrate one skill an interviewer will ask about: metadata-driven ingestion, incremental loading, Spark cleaning with quality rules, a dimensional model with history, and event-driven processing with alerts.
AWS Data Engineering Projects for Your Portfolio
Five AWS data engineering projects for a portfolio, on real public data: a serverless lake queried with Athena, event-driven ingestion with Lambda, an orchestrated Glue pipeline, a streaming path through Kinesis and Firehose, and a Redshift warehouse. Each lists the services, what it proves and cost cautions.
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.
Python Mini Projects to Build in a Weekend
Weekend projects fail when they are too big to finish by Sunday night. The fix is scoping: a core you can build on Saturday and improvements for Sunday. Three mini projects are scoped that way here, a weather and bike-rental explorer, a safe file organiser and a habit tracker, with each Saturday core built and run.
Data Engineering Projects for Your Portfolio
Five data engineering projects for a portfolio, each on a real public dataset: a tested batch pipeline and warehouse on NYC taxi data, an orchestrated ingestion of live earthquake feeds, change capture with history on a sample store database, a streaming pipeline on Wikipedia edits, and a Spark job on GitHub events.
Personal Projects That Double as Interview Stories
A personal project helps in an interview only if you can tell a good story about it: a real decision, a setback, a result. Employers say they want examples of skills used to solve problems. This guide shows how to plan projects so they produce those moments, keep a log while you work, and turn them into answers.