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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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.
Data Analyst Interview Questions and Answers, Part 2: The Metric Investigation Case
One interview round trips up more analysts than SQL: the metric investigation case. 'Cancellations went up six points. Why?' This guide works one real case end to end on public hotel booking data, showing the five steps interviewers look for, from checking the data to splitting mix from rate and finding the driver.
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.
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.
How to Tell a Story with Data: A Practical Framework
A framework for telling a story with data: five steps, context, change, cause, consequence and choice, organised with the main message first so the audience never gets lost, applied to a real online retailer's year from a flat summer to a pre-Christmas surge, with the chart for each step and the traps to avoid.
From Excel to SQL: A Smooth Transition Guide
A transition guide from Excel to SQL that starts from what you already know: filters become WHERE, SUMIFS becomes GROUP BY, XLOOKUP becomes a join, COUNTIFS and IF become CASE, and pivot tables become conditional aggregation, each shown as a real query with its output, plus the mindset shifts and pitfalls to expect.