Data Science vs. Data Analytics
Data Science and Data Analytics are related but distinct fields. Data Analytics is focused on the examination and interpretation of data to draw insights and inform decision making. It involves the use of techniques such as statistical analysis, data visualization, and machine learning to make sense of large and complex datasets.
Data Science, on the other hand, encompasses a broader range of skills and encompasses data analytics as one of its components. Data Science also involves the development of predictive models, the automation of decision-making processes, and the creation of data-driven products.
In summary, Data Analytics is a subset of Data Science and focuses on the analysis of data, while Data Science encompasses a wider range of tasks, including data collection, data cleaning, data analysis, feature engineering, model development, and deployment.