What’s the Difference Between Data Science and Data Analytics?

Data Science and Data Analytics are closely related but serve different purposes. Data Science focuses on building advanced models, using machine learning, and predicting future trends based on complex data sets. It involves deep programming, statistical analysis, and algorithm development. On the other hand, Data Analytics is about examining existing data to uncover actionable insights, trends, and patterns that help businesses make informed decisions. In the middle of exploring these fields, enrolling in Data analytics courses for beginners is a great way to start, offering foundational skills in data interpretation, visualization, and reporting before diving deeper into advanced data science.