Data Analytics
Showing 337–348 of 673 results
How to Choose a Linear Regression Model
Learn about the differences between different regression models and how to decide which one to use.
HR Analytics: Exploring Employee Data in R
Learn how to manipulate, visualize, and perform statistical tests through a series of HR analytics case studies.
HR Analytics: Predicting Employee Churn in Python
In this course you'll learn how to apply machine learning in the HR domain.
HR Analytics: Predicting Employee Churn in R
Predict employee turnover and design retention strategies.
Human Factors in Data Visualization
In this course, you will discover the best ways to communicate data with visual tools, and how to leverage the strengths of the human visual system. You'll be provided with the skills to design and structure reports and dashboards.
Hypothesis Testing: Associations
Learn how to use hypothesis testing to evaluate the associations between different variables.
Hypothesis Testing: Significance Thresholds
Learn how to evaluate statistical significance and the best thresholds to use.
IBM Cloud Pak for Data 5.0: Technical Essentials
This course provides an overview of the IBM Cloud Pak for Data platform, its deployment options, services, exemplary business scenarios, and the architecture.
IBM Cloud Pak for Data: Administration
The course focuses on the Day 2 Operations of managing the Cloud Pak for Data platform once it has been installed.
IBM Cognos Analytics: Dashboard Essentials (V11.1.x)
This course teaches authors how to create dashboards in IBM Cognos Analytics so users can explore and interact with their data and gain insight into their business.
IBM Cognos Analytics: Modeling with Data Modules (V11.1.x)
This training teaches data modelers how to model data using data modules in IBM Cognos Analytics, and how to customize data modules to meet their business needs.
IBM InfoSphere Master Data Management Fundamentals (V11.6)
This course will build a foundation for students interested in what master data is and how it is managed.