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Big Data & Data Analytics

Big Data & Data Analytics

IT Programs
Objectives:

By the end of the course, participants will be able to:
1.Weigh-in on the benefits, functionality, and ecosystem that are related to big data
2.Manage a big data initiative within their organization
3.Identify how big data technologies and analytical methods can generate value for their organization.
4.Assemble well-rounded big data analytics teams by identifying the essential data professional roles and responsibilities
5.Deploy a simple and systematic analytical approach for generating business value

Outline:

Module 1 :The big data landscape overview
Module 2: Big data project planning
Module 3: Big data project planning
Module 4: Basic data science mechanics
Module 5: Introduction to machine learning

Methodology:

Participants will be led through a series of hands-on exercises and workshops, where they will have the chance to apply and test the methods and practical approaches that they are learning throughout the course. Students will work to identify areas of their organization that can be improved through big data-driven implementations, and the types of improvements that can be made through these analytical measures. As part of this course, participants will produce an actionable big data plan that can be used as a blueprint for enterprise-wide big data deployments

Duration:

2 Days

Language:

English

Delivery:

On premises; online; others

Big Data & Data Analytics
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