Data Science Tools
Datamation, Wednesday, May 24,2023
This ability to extract insights from enormous sets of structured and unstructured data has revolutionized a wide range of fields, from agriculture to astronomy to marketing and medicine.
Today, businesses, government, academic researchers and many others rely on it to tackle complex tasks that push beyond the limits of human capabilities. Data science is increasingly paired with Machine Learning (ML) and other Artificial Intelligence (AI) tools to ratchet up insights and drive efficiency gains. For example, it can aid in predictive analytics, making Internet of Things (IoT) data actionable, developing and modeling new products, spotting problems or anomalies during manufacturing and understanding a supply chain in deeper and broader ways.
The marketplace of data science tools approach tasks in remarkably different ways and use different methods to aggregate and process data and generate actionable reports, graphics or simulations.
Here's a look at 15 of the most popular tools and what sets them apart.