Analytics and Data Science
The materials linked below will be applicable to a course in predictive modeling, analytics or applied data science.
Textbooks to Supplement Your Instruction
Find textbooks that integrate JMP. Most books may be requested through publisher websites. Contact your publisher representative for more information.
Take a Deeper Dive on Select Topics
Provide step-by-step instructions and short videos to help your students learn how to do common statistical and graphical analyses in JMP.
JMP® Case Study Library
Assign real-world problems for class projects or homework. These case studies are complete with background information, tasks, data, exercises, and more.
Recommended books for this course
- Ahlemeyer-Stubbe & Coleman, A Practical Guide to Data Mining for Business and Industry
- Camm, Cochran, Fry, Ohlmann, Anderson, Sweeney & Williams, Business Analytics 3rd edition
- Grayson, Gardner & Stephens, Building Better Models
- Klimberg & McCullough, Fundamentals of Predictive Analytics with JMP 2nd edition
- Linoff & Berry, Supplementary Exercises in JMP to Accompany Data Mining Techniques, 3rd edition
- Shmueli, Bruce, Stephens & Patel, Data Mining for Business Analytics: Concepts, Techniques, and Applications with JMP Pro
Instructors can request free evalution copies of textbooks from many publishers. Contact your publisher representative. For SAS Press books, request free instructor evaluation ebook copies here.
Recommended guides and videos
- Opening JMP and Getting Started
- Graph Builder
- One Way ANOVA
- Two-Way (Factorial) ANOVA
- Simple Linear Regression
- Multiple Linear Regression
- Simple Logistic Regression
- Multiple Logistic Regression
- Stepwise Regression
- Bootstrapping in JMP Pro
- Principal Components Analysis
- Factor Analysis
- Discriminant Analysis
- Classification Trees (Partition)
- Regression Trees (Partition)
- Naive Bayes
- K Nearest Neighbors
- Neural Networks
- Support Vector Machines
- Support Vector Regression
- Creating a Validation Column (Holdout Sample)
- Text Mining - Describing Unstructured Text Data
- Text Mining - Analyzing Unstructured Text Data
- Association Analysis (Market Basket Analysis)
- Model Comparison and Selection
The complete collection of guides and videos can be found at the JMP Learning Library.
If you or your students are new to JMP, this is also a great place to start: JMP Basics
Recommended Case Studies
Case studies are designed to supplement and expand your students experience by providing real and realistic multi-step problem scenarios, accompanied by exercises at the end. These are carefully crafted to use methods that have been introduced up to and including the concepts listed in the summary. Solutions to exercises are available to instructors only by request at this link.
Model Validation and Comparison
Explore webinars specifically designed for faculty & students
Live and on-demand webinars to expand your JMP knowledge. Topics span basics to advanced.
Data for Examples and Assignments
JMP comes with ~500 sample data sets included in the software, accessible through the JMP Help menu.
Applets and Add-Ins
Teaching Apps, Stats Calculators, & Extensions of JMP’s Capabilities
JMP’s teaching applets and calculators are ideal for illustrating and interactively exploring core statistical concepts and calculations. Add-ins extend JMP’s capabilities, opening up new possibilities in using JMP for teaching and learning.
Recommended Sample Data
There are many sample data sets to choose from in JMP, from Help > Sample Data (alphabetical list) or Help > Sample Data Library (indexed list by topic). Here are a few suggested examples for a course on Business Analytics.
- Academic Achievement
- Aircraft Incidents
- Birth Death
- Consumer Preferences
- Grandfather Clocks
- Grocery Purchases
- Hair Care Product
- Job Satisfaction
- Online Consumer Data
- Prostate Cancer
- Stock Prices
- Tech Stock
- Wafer Stacked
- XYZ Stock Averages
Student Menu: Easily access JMP’s teaching and learning tools via a dedicated menu item. This add-in brings the JMP Student Subscription’s Student menu to JMP and JMP Pro.
Preferences Manager: Create and manage preferences profiles, including creating a file that students can use to automatically set their JMP preferences for your course.
Word Importer: Expand JMP’s data importing capabilities to include text, tables, and images from Microsoft Word docs.
PPT Importer: Expand JMP’s data importing capabilities to include text and tables from Microsoft PowerPoint slides.
XGBoost: Expand JMP Pro’s machine learning capabilities to include extreme gradient boosted trees from the popular XGBoost open-source library.
Imbalanced classification: Build better classification models when response classes exhibit extreme imbalance by applying under- or over-sampling techniques.
Full Course Materials
Course Materials from SAS Education
“JMP course-in-a-box” provides complimentary JMP teaching materials from SAS. Includes classroom materials, data sets, slides and more. These are all available for download to qualified instructors.
Self-paced learning available 24/7
Full length e-courses from JMP and SAS Education cover a variety of topics and include activities, demos and exercises. Short instructor videos can supplement your course materials to create a flipped classroom.
Recommended Course Materials from SAS Education
Materials accompanying JMP e-Learning Courses from SAS
Materials accompanying JMP Classroom Courses from SAS
Recommended eLearning Courses from SAS Education
Students and Professors can enroll in these courses at no cost with a campus or department annual site license to JMP.
Asynchronous eLearning courses are listed in the eLearning catalog, including:
- The Predictive Modeling module from the free course Statistical Thinking in Industrial Problem Solving
Check the calendar of upcoming Live Web courses, including these topics: