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Certified Analytics Professional: Deployment

Unlock the power of data with the Certified Analytics Professional: Deployment course. Master solution deployment, deliver impactful reports, and become a data-driven problem solver.

Beginner
49m
(1)

Created by Bismark Adomako

Last Updated Nov 17, 2023

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  • Course

Certified Analytics Professional: Deployment

Unlock the power of data with the Certified Analytics Professional: Deployment course. Master solution deployment, deliver impactful reports, and become a data-driven problem solver.

Beginner
49m
(1)

Created by Bismark Adomako

Last Updated Nov 17, 2023

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What you'll learn

In today's data-driven world, businesses face the constant challenge of transforming data into actionable insights. The demand for skilled professionals who can navigate the intricate landscape of analytics and deploy solutions effectively has never been greater. In this course, Certified Analytics Professional: Deployment, you’ll gain the ability to master the art of deploying analytical solutions that drive real impact. First, you’ll explore the critical stage of solution deployment within the analytics lifecycle. Dive deep into understanding why deploying analytical models is the key to unlocking their full potential. Next, you’ll discover the intricacies of the CRISP-DM deployment stage, from producing comprehensive final reports to reviewing project outcomes. Finally, you’ll learn how to plan the deployment process strategically and establish robust monitoring and maintenance procedures. When you’re finished with this course, you’ll have the skills and knowledge of solution deployment needed to make your analytics efforts truly actionable.

Certified Analytics Professional: Deployment
Beginner
49m
(1)
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About the author
Bismark Adomako - Pluralsight course - Certified Analytics Professional: Deployment
Bismark Adomako
17 courses 3.7 author rating 132 ratings

Bismark is a BI & Big Data Engineer obsessed with applying his knowledge in computer engineering and mathematics in the fields of Data Science, Artificial Intelligence, Machine Learning, Big Data, and Human Computer Interaction to find disease cures, provision of better healthcare and technology, autonomous systems, education and productivity through research into novel methods and algorithms for computation.

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