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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

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?

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What is data analytics? Analyzing and managing data for decisions

CIO

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?

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The top 15 big data and data analytics certifications

CIO

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Candidates have 90 minutes to complete the exam.

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What are decision support systems? Sifting data for better business decisions

CIO

Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining. They are typically used for tasks including classification, configuration, diagnosis, interpretation, planning, and prediction that would otherwise depend on a human expert.

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12 data science certifications that will pay off

CIO

Cost: $99 Location: Online Duration: Self-paced Expiration: Credentials do not expire Microsoft Certified: Azure Data Scientist Associate The Azure Data Scientist Associate certification from Microsoft focuses your ability to utilize machine learning to implement and run machine learning workloads on Azure.

Knowledge 793
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Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Elegant BI

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

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Power Up Your Predictions with Plug n’ Play Predictive Analysis

Elegant BI

These tools can support the enterprise initiative to implement self-serve advanced analytics and transform business users into Citizen Data Scientists.