Course Description

The growing amount of data in computational processing and access to cheaper, more powerful, and affordable data storage have made it possible to quickly and automatically deliver faster, more accurate results. Hence, organizations from retail to financial services to energy sectors across the globe are looking at ways to derive insights from data to make good business decisions. Within this context, this course provides students an introduction to the basics of Data Management, the field of analytics, and machine learning in business.

Along with discovering the data analytics practices executed in the world of business, we will also explore key areas, such as Data Management in its entire lifecycle and the analytical process. Finally, we will closely examine three main IT systems and how pertinent components of data should be properly captured, processed, and presented.

Purpose

To gain a solid foundation in data analytics, including how it affects enterprise data and enterprise systems, key characteristics of business data, and business data taxonomy, as well as an exploration of the data lifecycle and data engineering.

Outcome:

• Understand business analytics and competitive advantage
• Learn about business data and systems
• Examine the Data Lifecycle (DLC) and many different types of enterprise systems

 This Course Includes: 

• A 93-minute educational training video
• A 24-question exam
• Materials made available for download once the exam has been completed
• Self-paced and on-demand e-learning
• Unlimited course access
• Course CEUs: 1.5 hours

Individual Course Price: $159
Learning Plan Price: $699
Learning Plan CEUs: 9.0 hours

We offer several bulk licensing options for corporate and group use.

Contact us for a follow-up discussion!