Resources

The Power BI Training Course – 20 Questions Checklist is a practical, printable tool to compare Power BI courses across providers objectively. Use it to score curriculum quality, delivery format, hands-on practice, certification prep, and after-course support so you can choose with confidence.

In this guide, we explain variance as a measure of how widely data points deviate from the mean and shows why understanding this spread is useful for deeper insight and risk assessment. It walks readers through calculating variance in Excel, distinguishing between the VAR.S function for a sample and VAR.P for an entire population, then demonstrates each with a car-sales case study.

This blog explains how Excel’s LOOKUP functions—particularly XLOOKUP and VLOOKUP—can retrieve data based on multiple criteria. It walks through a step-by-step example of finding an employee’s sales in a specific region, showing both an XLOOKUP formula and a VLOOKUP alternative that uses a helper column.

The article explains what SQL training courses cover at basic and advanced levels, highlighting their shared focus on hands-on practice. It contrasts beginner courses that teach core querying and database concepts with advanced courses that tackle complex joins, window functions, CTEs, indexing, and performance. It outlines certifications, career paths, and why SQL remains a high-demand skill across roles like analysts, engineers, and developers. Finally, it offers criteria for choosing the right course and showcases instructor-led options from providers such as Future Savvy and others.

This free, printable Excel Skills Self-Assessment helps you quickly gauge your level and pick the right next step in your learning path. It contains 15 multiple-choice questions spanning navigation, formulas, lookups, tables, PivotTables, charts, dynamic arrays, Power Query, and more. You’ll score yourself and interpret the result to see whether you’re Beginner, Intermediate, or Advanced - then follow tailored course recommendations based on your score.

The article explains what a Copilot prompt is and why clarity and specificity dramatically improve results. It shows how adding audience, tone, length, and format turns vague requests into accurate outputs, contrasting weak vs. strong prompts. It lists common mistakes - being vague, bundling too many tasks, omitting context or target audience, and failing to critically review AI output. It emphasises prompting as a valuable workplace skill; beginners should start small, reuse and adapt prompts, and remember AI can err, so human judgment remains essential.

The article explains why you might remove time from Excel dates - to simplify datasets, avoid clutter in reports, and prevent calculation errors. It outlines multiple methods: duplicating a column and using INT or TRUNC, changing cell formats to Short/Long Date, and using DATEVALUE when the original entry is text. Troubleshooting focuses on correcting cell formats and double-checking formula syntax and references.

Microsoft 365 Copilot can super-charge Word, Excel, Outlook, PowerPoint, and Teams, but IT managers must align licensing, data governance, and clear business goals before launch. In this article, we discuss how engaging stakeholders early, piloting with a small cross-functional group, and phasing the rollout lets teams refine guidance and measure real productivity gains. Role-specific, hands-on training - prompt-engineering tips, quick-start resources, and “Copilot champions” - converts into confident daily use while resolving emerging user challenges.

Traditional reading-and-writing literacy has broadened into digital literacy—the ability to locate, evaluate, create, and communicate information safely and effectively through technology. The article traces this evolution from basic “computer literacy” of the 1990s to today’s multifaceted concept that spans information, media, and AI literacy. Digital skills now underpin social inclusion, workforce readiness, and democratic participation, while gaps in access, competence, and support exacerbate inequality.