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Exclusive – Intelligent applications that are developed using Artificial Intelligence and Machine Learning are helping businesses take critical initiatives. These applications incorporate the power of predictive and prescriptive analytics, consumer data, and cutting-edge technol...

Most intelligent applications involve using huge quantities of data in various formats. Deep learning and linguistics are widely becoming a part of intelligent applications in every field. Natural Language processing is one of the broadly applied areas of machine lea...

Exclusive – Data Analysis is a process of applying statistical and mathematical techniques systematically to understand, explore, and analyze data to find patterns, and draw inferences that help businesses make data-driven decisions. This typically involves multiple activities s...

This intermediate course is built upon Tableau Fundamentals. You will learn advanced data connections, calculations, chart types, sets, parameters, and dashboard design. You will apply intermediate techniques to build more powerful, interactive analyses.

Learn how SAP BusinessObjects can help you overcome numerous reporting requirements to produce useful documents that meet and exceed expectations.

Learn to develop techniques for processing data types like relational data, unstructured data, and XML data in DataStage v11.5. Enroll now at Global Knowledge!

Contribute to the adoption of machine learning and AI features in your business.

Exclusive – Data Architecture is designed to provide you with a in-depth understanding of the principles and responsibilities of data architecture. Throughout this course, you'll learn how to design efficient data models, solve real-world data modeling challenges, and optimize s...

Advanced Concepts in Data Visualization is a three-day immersive course designed for professionals who want to elevate their data storytelling and dashboard design skills. Building on foundational visualization principles, this course dives into advanced chart types,...

Get hands-on practice modeling requirements through entity relationship diagrams, supertypes and subtypes, and attributive and associative entities. Learn to use logical data modeling to work directly with business users to accurately define requirements.