Data Science Analytics
Artificial Intelligence contributes significantly to the digital transformation of companies as companies try to capitalize on the ever-growing volume of information being produced and collected.
Data Science Analytics
Data Analytics has become an important tool for businesses and organizations across the world starting from manufacturing to healthcare, retail, and finance data warehousing to predictive modeling, data analytics is used in many different ways to gain insights from large volumes of structured and unstructured data.
It involves using various tools that are designed for the purpose of extracting knowledge from various sources such as structured and unstructured databases, documents, or spreadsheets. These tools can be used in a variety of ways such as predictive modeling, decision support systems, business intelligence systems, etc.
Data analytics are an integral part of every business and are often used to aggregate data for many purposes. They can range from traditional statistics to complex machine learning algorithms or artificial intelligence tools.
There are 4 different types of analytics majorly used – Descriptive, Predictive, Prescriptive, and Diagnostic analytics.