Course Description

Analytics and machine learning (ML) techniques have deep mathematical underpinning, and often the software (be it Excel, R, or SAS) will provide the output. Against this backdrop, statistics and linear algebra are the key building blocks of business analytics. This course examines many different types of statistics and analysis, including exploratory, associative, comparative, predictive, and prescriptive models.

Purpose

This course provides the skills and knowledge of fundamental mathematical concepts in understanding and interpreting the output or the insights from the analytics tools. In this course, we will use Excel to derive insights from data.

Outcome:

• Learn about business statistics for analytics
• Explore measures of central tendency and variation
• Understand normal data distributions in business
• Discuss linear algebra for machine learning

This Course Includes:

• A 95-minute educational training video
• A 20-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!