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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ADF Pipelines Explained: Building Your First Pipeline
A beginner's guide to pipelines in Azure Data Factory: what a pipeline and an activity are, the three kinds of activity, the objects you create for a first copy from blob storage to a SQL table, the JSON behind the canvas, why Debug moves real data, what Publish does, and how to read a run's output.
LangChain Tutorial: Build Your First LLM App
This LangChain tutorial builds a small meeting-notes assistant in four steps, using a free local model: a chat model, a prompt chain, structured output validated by Pydantic, and an agent with one tool. Everything ran, and the output also shows the mistakes a small model makes and how to catch them.
How to Get Your First Data Job with No Experience
Newcomers are a minority in data roles, but they do get hired, and the data shows where: smaller companies, internships that convert, and roles where learning on the job is expected. Answers from 282 data professionals in their first two years show the doors that open most often.
Power BI for Beginners: Your First Report in 1 Hour
A timed walkthrough for building your first Power BI report in about an hour, using Microsoft's free Financial Sample: installing Power BI Desktop, loading and checking the data, writing three measures, building cards, a trend, a country chart and a slicer, checking the numbers against expected values, and publishing.
Building Your First Data Pipeline: A Walkthrough
A walkthrough of a first data pipeline on real data: extracting a month of NYC yellow taxi trips, rejecting rows that break simple rules, aggregating to a daily table, loading it in one transaction so reruns replace rather than duplicate, checking the load, and the next steps toward scheduling and monitoring.
Building Your First Interactive Dashboard
A first interactive dashboard, built step by step on real sales data: preparing one tidy table, adding filters that recalculate every KPI, showing the trend, and then testing the interactions automatically, the step most beginners skip, with notes on doing the same in Power BI, Tableau or Looker Studio.