When does class start/end?
Classes begin promptly at 9:00 am, and typically end at 5:00 pm.
This IBM Web-Based Training (WBT) is Self-Paced and includes: - Instructional content available online for duration of course - Visuals without hands-on lab exercises IBM SPSS Modeler is a premium...Read More
This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises
IBM SPSS Modeler is a premium service for IBM Cloud Pak for Data V3.0.x This course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler for Cloud Pak for Data.
- Gain introductory knowledge of SPSS Modeler for IBM Cloud Pak for Data- Learn to import, integrate and explore the data- Transform fields and identify relationships- Get an introduction to machine learning models
Introduction to SPSS Modeler for IBM Cloud Pak for Data - Introduction to data science- Describe the CRISP-DM methodology- Introduction to SPSS Modeler- Build models and apply them to new data Import and explore the data - Describe key terms in working with data- Import and export data- Audit the data- Define missing values Integrate data - Identify the unit of analysis- Remove duplicate records and aggregate data- Append and merge datasets- Append and merge datasets with incomplete data Transform fields - Use the Control Language for Expression Manipulation- Derive fields- Use functions- Reclassify fields Identify relationships - Overview of the nodes to use- Explore the relationship between two categorical fields- Explore the relationship between a categorical field and a continuous field- Explore the relationship between two continuous fields Introduction to modeling - Identify three types of machine learning models- Identify three types of supervised models- Identify unsupervised models- Deploy machine learning models