96324 - Data Analytics and Machine Learning Applications

Delivery Options Online

Course Overview

In today's rapidly changing information technology environment, organizations are using a variety of technologies and tools to create machine learning environments and perform data analytics. This course covers a practical introduction to the process of performing exploratory data analytics to creating machine learning pipelines using a combination of Tableau, Excel, and Azure ML Studio.

What You'll Learn

Chapter 1: Introduction to Data Mining
Chapter 2: Data Mining Project Methodology
Chapter 3: Visualization: Theory and Design
Chapter 4: Tableau: Core Features
Chapter 5: Tableau: Exploratory Data Analysis
Chapter 6: Tableau: JavaScript API
Chapter 7: Excel: Multivariate Prediction
Chapter 8: ML Studio: Introduction to Pipelines
Chapter 9: ML Studio: Data Cleaning and Preparation
Chapter 10: ML Studio: Selecting the Features
Chapter 11: Modeling: Algorithm Selection
Chapter 12: ML Studio: Optimizing Model Fit and Performance
Chapter 13: ML Studio: Text Analytics
Chapter 14: Modeling: Recommendation Engines
Chapter 15: Project: Putting It All Together

Who Should Attend

Managers
Support Staff
Executives
Line Managers
Supervisors
Recent Graduates
Business Students
CEU Seekers
Career Pivoters
Resume Builders

Additional Information

Participant must complete all sections to earn Digital Badge of Completion.

Enroll Now - Select a section to enroll in

96324 - ASM-002

Data Analytics and Machine Learning Applications

Start: Any Time

Online

Available

Date and Time TBA

Online

Fee non-credit

$599.00

1.5 CEUs

No drop request allowed after enrollment

No transfer request allowed after enrollment

Section Notes

This is a self-paced class and you will have 365 days to complete after enrollment.

This course is offered through Anderson School of Management.

UNM Staff, Faculty and Retirees can use their Tuition Remission benefit on professional development programs.