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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Vertex AI Tutorial: ML on Google Cloud
Vertex AI is now called Gemini Enterprise Agent Platform, and its machine learning tools work as before. This tutorial follows one model from data to predictions, explains the contract your training code must follow, and trains a real model locally to show what testing on a later day reveals.
PySpark Tutorial: DataFrames, Transformations and Actions
A practical PySpark DataFrame tutorial on three million real New York taxi trips: declaring schemas, filtering and deriving columns with when and otherwise, grouped aggregation that exposes a trap in tip data, a join and a window function for top zones per borough, the same logic in Spark SQL, and the actions.
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.
dbt Tutorial: Transformations in the Modern Data Stack
A practical introduction to dbt: where it fits as the T in ELT, a complete working project, two models, a seed and seven tests, built on three million real taxi trips with DuckDB, how ref orders the build, what a warning-level test looks like, materializations, and the habits that keep dbt projects maintainable.
Looker Studio (Now Data Studio) Tutorial: Free Dashboards for Beginners
A beginner's tutorial for Looker Studio, which Google has renamed Data Studio: connecting a Google Sheet, checking dimensions and metrics, building scorecards and charts, adding filter controls, writing a calculated field, blending a target sheet, sharing safely, and the design habits that keep a free dashboard useful.
SQLAlchemy Tutorial: Databases in Python
A hands-on SQLAlchemy 2.0 tutorial on an in-memory SQLite database: defining typed models, adding and committing rows with a Session, writing select() queries, joining and aggregating, loading relationships without the N+1 query problem, and handling transactions and schema migrations.