What are the different fields in data analytics?
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Complete, First published Jul 23
Mature
"It is a capital mistake to theorize before one has data." - Sherlock Holmes 

In today's technological landscape, data and its analysis using advanced tools have become crucial. Over the past two years alone, more than 90% of existing data has been collected, and this amount is expected to double every two years. The future of technology, including AI, machine learning (ML), deep learning (DL), and the Internet of Things (IoT), is heavily dependent on data. Consequently, data analytics is essential for businesses to thrive and remain competitive.
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