IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

KDnuggets

APRIL 20, 2023

You will learn about descriptive analytics, data warehousing, machine learning, and big data.

Descriptive Analytics 112

Descriptive Analytics Data Analytics Analytics Machine Learning 112

KDnuggets

MARCH 8, 2023

Learn about descriptive analytics, data warehousing, machine learning, and big data.

Descriptive Analytics 106

Descriptive Analytics Data Analytics Analytics Machine Learning 106

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

DECEMBER 19, 2021

Built-in Data Analytics Tools: Python has some built-in data analysis tools that make the job easier for you. For example, the Impute library package handles the imputation of missing values, MinMaxScaler scales datasets, or uses Autumunge to prepare table data for machine learning algorithms. Cryptocurrency.

Optimization 134

Optimization Machine Learning Data mining Statistics 134