Organisations are depending more and more on the power of data in today's data-driven environment to obtain insightful knowledge and make wise decisions. Data analytics and data science are two terms that are often used interchangeably, but they actually refer to distinct fields with their own unique methodologies and objectives. In this article, we will delve into the differences between data analytics and data science, highlighting their key features, applications, and the skills required to excel in each domain. Data Analytics: Unveiling Insights from Data Data analytics is the process of examining raw data to uncover meaningful patterns, draw conclusions, and make informed decisions. It is mostly concerned with looking at historical data to learn about prior patterns and performance. For individuals interested in pursuing a career in this field, enrolling in a data analyst course can provide essential skills in statistical analysis, data mining, and predictive modeling to effe...