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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How to Learn Power BI in 30 Days: A Study Plan
A realistic 30-day Power BI plan: what to install and which free sample data to use, a concrete output for every day across four weeks of Power Query, data modelling and DAX, report design, and the Power BI service, mapped to the skill areas Microsoft lists for Power BI data analysts, and how to check progress.
Power BI Error Handling in Power Query
Error handling in Power Query for Power BI: step-level and cell-level errors and their common causes, what Remove, Replace and Keep errors do, try with otherwise and catch for custom logic, and a real example where changing one column's type would have turned 10% of the rows into errors that Remove errors deletes.
Calculation Groups in Power BI Explained
Calculation groups in Power BI explained: the measure explosion they solve, how SELECTEDMEASURE turns one expression into a calculation for every measure, a time intelligence group applied to two real measures, dynamic format strings, how precedence combines groups, and the limitations to check before adding one.
KPIs and Cards in Power BI: Designing Scorecards
Designing KPI cards and scorecards in Power BI: when to use the card visual, the KPI visual or scorecards in the Power BI service, why every headline number needs a comparison, measures for prior period, variance and status, a worked row of cards from Microsoft's Financial Sample, and layout rules for a scorecard page.
Excel Power Query: Cleaning Data Without Code
How to clean data in Excel with Power Query instead of formulas and manual edits: combining a folder of monthly exports, fixing data types and messy text, removing duplicates without the case-sensitivity trap, merging lookup tables, unpivoting wide layouts, and turning it all into a query you refresh each month.
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.