Data mining, Forecasting, Prescriptive Analytics and Unstructured Data

Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science

Data Science Data Analytics Prescriptive Analytics Analytics

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

APRIL 26, 2023

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

Big Data

Big Data Data Analytics Analytics Cost-Benefit

Data Leaders Brief

Data science vs data analytics: Unpacking the differences

Data science vs. machine learning: What’s the difference?

10 Best Big Data Analytics Tools You Need To Know in 2023

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