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Course Description

This course introduces advanced topics core to the data science profession. The course covers the following topics: · Data Modeling · Machine Learning · Deep Learning · Real-world use cases

Learner Outcomes

Throughout the course, you will learn the following objectives

  • Understand the use of AI automation to accelerate the Data Model Management lifecycle.
  • Understanding of Linear Algebra principles for machine learning.
  • Understanding of different modeling techniques.
  • Understanding of model validation and selection techniques.
  • Communicate results translating insight into business value.
  • Demonstrate through a project the ability to test different models on a dataset, validate and select the best model, and communicate results.
  • Hands-on experience on IBM AutoAI, and IBM Watson Visual Recognition.
  • Understand the inner dynamics of a Car Insurance company and use Data Science and AI improve business outcomes.
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Enroll Now - Select a section to enroll in
Section Title
IBM Skills Academy | Machine Learning for Data Science Projects (CE Online)
Language of Delivery
English
Type
Online, self paced
Dates
May 12, 2025 to Aug 22, 2025
Delivery Options
CE On-Demand  
Course Fee(s)
Tuition Fee non-credit $0.00
Drop Request Deadline
May 11, 2025
Transfer Request Deadline
May 05, 2025
Section Notes
This course is delivered fully online in Canvas.
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