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DATA ANALYTICS, DATA SCIENCE, AI - Coggle Diagram
DATA ANALYTICS
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DATA ANALYSIS
PROCESSES
2OF6: PREPARE
Prepare data by collection and sharing the information. Data generation, collection, storage and data management
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4OF6: ANALIZE
Analyze data to find patterns, relationships and trends. Data exploration, visualization and analysis.
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THE COLLECTION, TRANSFORMATION, AND ORGANIZATION OF DATA IN ORDER TO DRAW CONCLUSIONS, MAKE PREDICTIONS, AND DRIVE INFORMED DECISION-MAKING.
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DATA ECOSSISTEMS
The various elements that interact with one another in order to produce, manage, store, organize, analyze, and share data. This elements include Hardware and Software tools and people who use them.
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You want to encounter your unkown unkowns. How quickly you can surf through vast amounts of data to explore it and discover the gems, the beautiful potential insights that are worth knowing about and bringing to your decision-makers
THE SCIENCE OF DATA. IT'S A VERY BROAD CONCEPT THAT ENCOMPASSES EVERYTHING FROM THE JOB OF MANAGING AND USIGN DATA TO THE TOOLS AND METHODS THAT DATA WORKERS USE EACH AND EVERYDAY.
DATA SCIENCE
MACHINE LEARNING
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A type of artificial intelligence that leverages massive amounts of data so that computers can improve the accuracy of actions and predictions on their own without additional programming.
A type of artificial intelligence that enables computers to both understand concepts in the environment, and also to learn.
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CREATING NEW WAYS OF MODELING AND UNDERSTANDING THE UNKNOWN BY USING RAW DATA. DATA SCIENTISTS CREATE NEW QUESTIONS USING DATA WHILE ANALYSTS FIND ANSWERS TO EXISTING QUESTIONS BY CREATING INSIGHTS FROM DATA SOURCES.
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