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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Customer Segmentation for Analysts: A Practical Guide
Customer segmentation for analysts, worked through on a real online shop's 4,293 customers: computing recency, frequency and monetary value, scoring them into quintiles, turning scores into named segments, finding that a quarter of customers bring two thirds of revenue, and deciding what to do with each group.
Data Analyst vs Business Analyst: Key Differences
Data analyst versus business analyst, compared on what actually differs: the question each role answers, what they produce, the tools and skills they rely on, who they work with, where the two overlap, and how to decide which suits you, with a worked example of both roles tackling the same business problem.
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.
How to Present Data to Non-Technical Stakeholders
How to present data to non-technical stakeholders so they understand it and act on it: starting from the decision they face, leading with the answer, making numbers easy to grasp, one message per chart, explaining uncertainty without jargon, handling hard questions, and a before-and-after rewrite of a finding.
SQL for Data Analysts: The Queries You Need Daily
The SQL an analyst writes every day, each query run on a real sample database: profiling a table before trusting it, reconciling totals, monthly reports that keep empty months, share of total with a window, period-over-period change with LAG, new versus returning customers and the latest record per customer.
Spreadsheet to Insight: A Repeatable Analysis Workflow
A repeatable workflow for turning a raw spreadsheet into an insight, followed end to end on a real 541,909-row sales workbook: writing the question down, fingerprinting the raw file, logging what every cleaning rule removes, answering the question, reconciling before sharing, and making the whole analysis rerunnable.