When some are trying to start a career in a data-related field, students are often confused about the difference between data analytics and data science. Despite the two being interconnected, they provide different results and pursue different approaches. Here we will discuss the differences between them and look at what each delivers. Furthermore, we will also discuss the difference between data analytics and business analytics.
Data analysis involves answering questions generated for better business decision-making. It uses existing information to uncover actionable data. Data analytics focuses on specific areas with specific goals. On the other hand, data science focuses on discovering new questions that you might not have realized needed answering to drive innovation. Unlike data analytics which involves checking a hypothesis, data science tries to build connections, and it shapes the questions to answer them for the future. If we used the analogy of a house, it would be safe to say that, If data science is a home for all the methods and tools, data analytics is a small room in that house. Reflecting on the fact that data analytics is more specific and could be said to be a special and concentrated field of data science.
Data analytics focuses more on viewing the historical data in context, while data science focuses more on machine learning and predictive modeling. Data science is a multi-disciplinary blend that involves algorithm development, data inference, and predictive modeling to solve analytically complex business problems. On the other hand, data analytics involves a few different branches of broader statistics and analysis. If you would feel the need to learn more about data science, you can do it here.
Data Analytics vs. Business Analytics: Understanding the difference
Data analytics involves analyzing datasets to uncover trends and insights used to make informed organizational decisions. Business analytics focuses on analyzing various types of information to make practical, data-driven business decisions and implement changes based on those decisions. Business analytics often uses insights drawn from data analysis to identify problems and find solutions.
While data analysts and business analysts both work with data, the main difference lies in what they do with it. Business analysts use data to help organizations make more effective business decisions. In contrast, data analysts are more interested in gathering and analyzing data to evaluate and make decisions independently.