We have explored Structured Query Language (SQL) problems in real-world business scenarios using single table queries in a previous post which can be accessed here. We will now focus on scenarios by using multiple table queries albeit still within a typical retail business. If you’re new to SQL and haven’t learned how to install SQL…
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…
Wetlands are known to be one of the most valuable and yet vulnerable ecosystems on our planet. They help sustain the environment through critical services such as flood control, water purification, and carbon sequestration.
While solar energy is becoming increasingly available and widely used as a clean source of electricity generation, its supply can be intermittent and unreliable. This inconsistency poses challenges to the efficiency and reliability of the power and energy grids.
As we confront one of the most pressing challenges of our time, the far-reaching and profound effects of climate change demand our utmost attention and reflection. Hence, combating carbon emissions has become an integral part of our collective responsibility.
In the face of increasing global consciousness of the threat posed by climate change, engineers are leading the charge in the development and crafting of solutions to achieve sustainability. Harnessing the power of artificial intelligence (AI) in the engineering sector as a tool for combating the climate emergency is certainly a present reality.
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…
Introduction The ability to extract meaningful insights from raw data is more crucial now than ever. Among the many datasets available for analysis, the “Adult Census Income” data can be used to understand the socio-economic factors that influence income levels. This dataset, collected from the 1994 U.S. Census, includes a variety of demographic information, such…
Introduction Heart disease remains one of the leading causes of morbidity and mortality worldwide. Hence, understanding the factors that contribute to heart disease and the treatments that can mitigate its effects is crucial for improving patient outcomes. This project will explore a dataset related to heart attack patients and analyse various demographic, lifestyle, and clinical…
Introduction Customer service quality can make or break a company’s reputation. Call-centres are often at the frontline of customer interactions, making them a crucial component of customer satisfaction strategies. To ensure that these interactions meet customer expectations, it’s essential to analyse and understand the factors that contribute to positive or negative experiences. In this project,…
AI Assistant
