Each day the world generates 2.5 quintillion bytes of data. Every organization is tracking and maintaining information they never had before.
DurationEach day the world generates 2.5 quintillion bytes of data. Every organization is tracking and maintaining information they never had before. That is a lot of data, and organizational leaders expect us to make sense of it—and not only make sense of it, but also communicate it in a way that it makes sense to busy executives. How do we do that? We visualize it.
With a single image, a complex idea can be explained instantly. A good chart, graph, or picture can explain at a glance what may take 5 to 10 pages of narrative to explain in a report. This course teaches participants to present data analytics results visually with state-of-the-art graphics presentations.
Participants will learn through real-world case studies and examples of success (and failures) within world-class programs. The class is intended to teach participants to enhance existing data analytics with data visualization.
Verracy offers dynamic training programs that help your team stay ahead of the continually changing demands in today’s audit industry and beyond. Every course is led by a practicing expert in the field using real-world examples that help you and your team engage with the material and apply it quickly.
This unique course provides solid knowledge in Data Analysis and Business Intelligence.
This PL-300 Microsoft Power BI Data Analyst training course will help you learn the diverse methods and most promising practices in line with technical and business requirements for analyzing, modeling, and visualizing data with Microsoft Power BI.
This course is designed to introduce you to the methods behind good data visualization as well as the tools and techniques for creating compelling visual insights.
Enroll for our 1-day Introduction to Power BI from Koenig Solutions. In this course you will learn how you can leverage Power BI to easily build reports and dashboards with interactive visualizations.
Big data analytics involves the process of examining large amounts of varied data sets in order to uncover correlations, hidden patterns, and other useful insights.
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