IT Career Guides & Free Resources
Expert roadmaps, tutorials, salary guides and interview prep across Data Science, Generative AI, Python, Cloud & Analytics β written by GloryTecks trainers in Hyderabad.
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Data Science Roadmap 2026: A Complete Step-by-Step Guide
A data science roadmap in dependency order, from Python and SQL through cleaning, statistics and honest model evaluation to communicating results, with an exit test at every stage and one dataset that carries through the whole path.
What Is Generative AI? A Complete Beginner's Guide
What generative AI is, in plain language: how language models produce text one token at a time (shown with a tiny runnable model), how chat models are trained, how image models differ, what the technology is reliable for, and why it confabulates.
Learn Python from Scratch: A Complete 2026 Roadmap
How to learn Python from zero: install a current version (including the new Windows install manager), then work through seven stages, from values and loops to files, virtual environments, classes and tests, each ending with a small program you should be able to write on your own.
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Data Scientist Salary in Hyderabad 2026: How Pay Grows From Fresher to Senior
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ChatGPT Complete Guide: Features, Prompts and Use Cases
Generative AI Β· 5 min
Python Interview Questions: Top 50 with Answers
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DAX Guide: Measures, Calculated Columns and Context
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Top Free Tools for Data Analysts in 2026
The free tools a data analyst can build a complete toolkit from, each checked against its own licence or pricing page: spreadsheets, SQL databases, Python, R and notebooks, data cleaning, dashboards and BI, visual workflows and version control, with the catch in each option and starter kits for different situations.
Building a Sales Dashboard in Power BI from Scratch
A Power BI sales dashboard built from scratch on the Chinook sample database: a star schema and date table, core DAX measures for revenue, orders, customers, order value and year-over-year change, the exact values each should return, a sales rep comparison that ranks differently by total and per customer, and a layout.
Composite Models and DirectQuery in Power BI
DirectQuery and composite models in Power BI, from Microsoft's guidance: why import is the default, the situations that justify DirectQuery, its limits from the one-million-row cap to query folding, how composite models combine import, DirectQuery and dual tables, and the security and performance traps of mixing.
Connecting Power BI to SQL Server: A Step-by-Step Guide
Connecting Power BI to SQL Server, step by step: preparing a reporting view, the connector's settings and advanced options, authentication and certificate errors, keeping Power Query steps folding back to SQL Server, native SQL statements, checking row counts, gateway refresh and troubleshooting.
DAX FILTER and ALL Functions Explained
The DAX FILTER and ALL functions explained with real sales numbers: how ALL on a table or a column produces three different shares of total, what ALLEXCEPT, ALLSELECTED and REMOVEFILTERS change, when FILTER is genuinely needed, such as conditions on measures, and why Microsoft recommends Boolean filters where possible.
ADF vs Databricks: When to Use Each
Azure Data Factory moves and orchestrates data; Azure Databricks processes it with Spark and has grown its own orchestration. This guide separates their roles, examines the three areas where they overlap, runs one transformation as PySpark code to compare with a visual data flow, and gives a way to choose.