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How to build an insightful Power BI dashboard: A guide using superstore dataset

This guide uses a superstore dataset, containing sales records, profits, shipping details, and customer information, to demonstrate how to build a powerful dashboard. By following a structured approach to data loading, transformation, and visualisation, you can generate meaningful insights that drive informed decision-making. If you’re new to Power BI, check out this article covering the…

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Data visualisation using Power BI: Key takeaways

Introduction Insights can be communicated through written reports, visualisation reports, or dashboards. Visualisations are key in data analysis, and it’s common to see the terms “reports” and “dashboards” used interchangeably, even though they serve different purposes. Reports vs. Dashboards Reports provide detailed, static data, often with a focus on historical or specific information. They are…

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Comprehensive guide to installing Microsoft SQL server

Introduction This guide provides a comprehensive walkthrough for installing Microsoft SQL Server on Windows operating system. It covers the necessary steps to set up SQL Server, install SQL Server Database Management Studio (DBMS), and configure popular sample databases such as AdventureWorks and WideWorldImporters. Although the procedures outlined are tailored for the 2019 version, they are…

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How to prepare data for Power BI dashboard using Excel dataset: A beginner’s guide

Introduction Creating effective Power BI dashboards starts with properly prepared data. This guide provides a step-by-step approach to preparing data for visualisation in Power BI, using a sample Excel dataset. By following these instructions, beginners can transform raw data into meaningful insights that are ready for analysis and presentation. Please check out the lessons below…

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SQL exercises on retail shopping: Single table queries

Introduction In this module, we will explore how to use Structured Query Language (SQL) to solve problems in real-world business scenarios. The questions and their solutions will involve querying single tables, requiring only a basic understanding of SQL commands. We will focus on business scenarios related to human resources (HR) and product orders within a…

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Predicting bank deposit subscriptions using machine learning

Introduction The ability to predict customer behaviour has become increasingly important for businesses, especially in the financial sector. For banks, understanding which clients are likely to subscribe to a term deposit can lead to more effective marketing strategies and better resource allocation. This analysis explores a beginner’s approach to predicting whether a client will subscribe…