Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

Data Mining 357

Data Mining Analysis Predictive Analytics Data Analysis 357

CIO

JUNE 14, 2023

AWS Certified Data Analytics The AWS Certified Data Analytics – Specialty certification is intended for candidates with experience and expertise working with AWS to design, build, secure, and maintain analytics solutions. Candidates have 90 minutes to complete the exam.

Data Mining 793

Data Mining Knowledge Data Analysis Analysis 793

CIO

OCTOBER 13, 2023

Cloud data architect: The cloud data architect designs and implements data architecture for cloud-based platforms such as AWS, Azure, and Google Cloud Platform. Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures.

Pharmaceutical 829

Pharmaceutical Data Mining Hospitals Education 829

Smart Data Collective

DECEMBER 4, 2019

One of the hot topics on the conference circuit today is how business owners and principals can use predictive analysis to run their respective businesses. In the sections below, we will discuss the use of predictive analysis and how it has changed the way conferences are run. Practical Uses of Predictive Analysis.

Predictive Analytics 135

Predictive Analytics Data Mining Gaming Travel 135

Netbasequid

JULY 24, 2023

Ability to Predict What if you could predict the future? Predictive analytics is a branch of advanced AI-powered analytics that helps you do just that. Using historical data with statistical modeling, data mining, and AI, you can come very close to owning a crystal ball.

Pharmaceutical 52

Pharmaceutical Business Competitor Analysis Competitive Landscape 52

Datapine Blog

AUGUST 29, 2022

Whether you are a complete novice or a seasoned BI professional, you will find here some books on data analytics that will help you cultivate your understanding of this essential field. As of this moment, just 5% of all accessible data is analyzed and used – just think of the potential. The author, Anil Maheshwari, Ph.D.,

Data Mining 105

Data Mining Predictive Analytics Startups Data Analysis 105

Smart Data Collective

OCTOBER 25, 2023

Well, it is – to the ones that are 100% familiar with it – and it involves the use of various data sources, including internal data from company databases, as well as external data, to generate insights, identify trends, and support strategic planning. In the 1990s, OLAP tools allowed multidimensional data analysis.

Business Intelligence 236

Business Intelligence Data Analysis Analysis Data Mining 236