- Master the basic features and functions of SPSS Statistics.
- Learn the basics of using SPSS in academic research.
- Take a deep dive into using SPSS for ML and AI.
Overview
SPSS Statistics is a statistics and data analysis program for businesses, government, research institutes, and academic organizations. With this learning path, you can begin mastering the features and functionality of SPSS and go on to using it for AI and machine learning research and applications.
Syllabus
Courses under this program:
Course 1: SPSS Statistics Essential Training
-Get up and running with SPSS Statistics. Learn how to work with the program to make data visualizations, calculate descriptive statistics, and more.
Course 2: SPSS for Academic Research
-Explore how to run tests for academic research with SPSS, the leading statistical software.
Course 3: Machine Learning and AI Foundations: Decision Trees with SPSS
-Establish a strong foundation in ML by exploring the IBM SPSS Modeler and learning about CHAID and C&RT. This course is designed to help expand your data science skills.
Course 4: Machine Learning and AI: Advanced Decision Trees with SPSS
-Work toward a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST and C5.0 algorithms and a few advanced topics.
Course 5: Machine Learning & AI Foundations: Linear Regression
-Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.
Course 6: Machine Learning and AI Foundations: Classification Modeling
-Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
Course 1: SPSS Statistics Essential Training
-Get up and running with SPSS Statistics. Learn how to work with the program to make data visualizations, calculate descriptive statistics, and more.
Course 2: SPSS for Academic Research
-Explore how to run tests for academic research with SPSS, the leading statistical software.
Course 3: Machine Learning and AI Foundations: Decision Trees with SPSS
-Establish a strong foundation in ML by exploring the IBM SPSS Modeler and learning about CHAID and C&RT. This course is designed to help expand your data science skills.
Course 4: Machine Learning and AI: Advanced Decision Trees with SPSS
-Work toward a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST and C5.0 algorithms and a few advanced topics.
Course 5: Machine Learning & AI Foundations: Linear Regression
-Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.
Course 6: Machine Learning and AI Foundations: Classification Modeling
-Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
Courses
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Classification methods are among the most important in modern data science. Learn classification strategies and algorithms for machining learning and AI.
-
Expand your data science skills by learning how to leverage the concepts of linear regression to solve real-world problems.
-
Work toward a mastery of machine learning by exploring advanced decision tree algorithm concepts. Learn about the QUEST and C5.0 algorithms and a few advanced topics.
-
Establish a strong foundation in ML by exploring the IBM SPSS Modeler and learning about CHAID and C&RT. This course is designed to help expand your data science skills.
-
Get up and running with SPSS Statistics. Learn how to work with the program to make data visualizations, calculate descriptive statistics, and more.
Taught by
Barton Poulson, Yash Patel and Keith McCormick