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Predictive modeling for assessing automobile insurance risks

Introduction The automobile industry has always been at the forefront of innovation, constantly seeking ways to improve efficiency, safety, and customer satisfaction. Predictive modeling adds a new dimension to this effort by enabling data-driven decisions that benefit manufacturers, insurers, and consumers. In this project, we focus on predicting normalised losses for vehicles, a crucial metric…

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Exploratory data analysis to unveil patterns in a car insurance dataset

Introduction Exploratory Data Analysis (EDA) is a critical first step in understanding any dataset before modeling or drawing insights. This analysis focuses on a car insurance dataset. Key attributes such as car manufacturer, engine size, number of cylinders, and performance metrics are analysed to uncover patterns and relationships that influence insurance risk. Through systematic data…

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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…