Business leaders are increasingly aware of the power and wisdom of data-driven decision-making. In the right hands, data translates into valuable information that can be used to any business end – from spotting patterns in customer buying behaviour, to highlighting business opportunities, to optimising customer service experiences. In short, it enhances both short-term and long-term, […]

Clustering is a technique used in several areas of computer science – such as machine learning, artificial intelligence, data analysis, and data mining – to group similar data points based on the information contained within them, such as characteristics or features. This approach is particularly useful when dealing with large-scale datasets that contain unstructured, unlabelled, […]

In today’s data-driven world, it’s no surprise that data analytics has become an in-demand career path. The ability to analyse and interpret large datasets is crucial for making informed business decisions, which means there is a growing demand for skilled data analysts in a variety of industries, including: Banking and finance. Insurance. Manufacturing. Healthcare and […]

Exploratory data analysis (EDA) is a preliminary method of data analysis used to help people analyse, understand, characterise, and summarise data. During the exploratory analysis phase, data analysts can use EDA techniques and machine learning algorithms to support their explorations, and often use data visualisation methods to help identify and illustrate data: trends patterns relationships, […]

What is data scraping? Data scraping, also known as web scraping, is a data science technique in which a computer uses a programming language to extract data from output generated by another programme. Web scraping is not to be confused with web crawling; it focuses on extracting data rather than indexing it. It has myriad […]