Types of Analytics and the Questions They Answer
“Why did revenue drop” and “what will revenue be next quarter” look like neighbouring questions. They need different methods and different evidence.
Data Science
Data Science is an interdisciplinary field that combines statistics, computer science, and domain expertise to extract knowledge and insights from structured and unstructured data. It involves the entire data lifecycle—from data collection, cleaning, and exploration to modeling, evaluation, and communication of results. Data scientists use tools and languages like Python, R, SQL, and platforms such as Jupyter, Spark, and cloud services to analyze data and build predictive or explanatory models. Key techniques include machine learning, data visualization, hypothesis testing, and statistical inference. Data Science is widely applied in business, healthcare, finance, marketing, and many other fields to drive data-informed decisions.