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FRONT RANGE NEWS FEBRUARY 2017 Advancing Productivity, Innovation and Competitive SuccessPROFESSIONAL DEVELOPMENT MEETING Wednesday, February 8th, 2017 TOPIC: Data Analytics and Dashboards: Putting
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Start by identifying the objectives of your data analytics project.
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Collect and gather relevant data from various sources.
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Apply appropriate data analytics techniques such as regression, clustering, or classification.
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Present the findings and insights derived from the data analytics in a clear and understandable manner.

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Topic data analytics is a method of analyzing and extracting insights from large amounts of data related to a specific topic or subject.
Companies, organizations, or individuals who are looking to gain insights and make informed decisions based on data related to a specific topic.
Topic data analytics can be filled out using various data analysis tools and techniques, such as statistical analysis, machine learning algorithms, and data visualization.
The purpose of topic data analytics is to uncover trends, patterns, and relationships within a specific set of data, in order to make informed decisions and predictions.
The information reported on topic data analytics may include key metrics, trends, outliers, and any other relevant insights related to the specific topic being analyzed.
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