What is Data Analytics?

To learn more, read about analytics fields listed below and then click on “Careers in Analytics.”
Data Analytics, Big Data, Informatics, Data Science….What Does it All Mean?
What is Big Data? What is the difference between data analytics, informatics and data science? If you are new to analytics, these terms might be confusing. Data analysts transform large amounts of raw data into useful information. In the past, data was structured and easier to manage. Big Data makes this job more challenging.
Data comes from many sources (social media, online shopping, wearable devices.) It is massive in terms of volume. It is varied (images, texts, audio, video, sensor data) and it is generated at a high velocity. Data analysts call this the volume, variety and velocity challenges of Big Data.
A growing number of professionals are needed to meet the demand for expertise in analytics. These experts capture, categorize, clean, store, explore, and interpret data for industries and organizations.