JMP Statistical Thinking for Industrial Problem Solving Exam
The JMP Statistical Thinking for Industrial Problem Solving course is designed for individuals aiming to enhance their proficiency in practical problem-solving utilizing data and statistics. It covers the content areas and tasks of the Statistical Thinking for Industrial Problem Solving certification exam.
This e-learning course, spanning 25 to 30 hours, incorporates mini-lectures, case studies, demonstrations, practices, and quizzes, ensuring an interactive and applied learning experience. The course is divided into seven standalone modules, each requiring three to five hours for completion. Participants gain access to JMP software in a virtual lab, along with the JMP Start Statistics eBook and supplementary resources.
Prerequisite:
- While familiarity with JMP software is beneficial, it is not mandatory for participation in this course.
- This course predominantly focuses on JMP software applications.
Course Outline
This covers the given topics -
- Topic 1: Understand Statistical Thinking and Problem Solving
- Topic 2: Learn about Exploratory Data Analysis
- Topic 3: Explore Quality Methods
- Topic 4: Decision Making With Data
- Topic 5: Understand Correlation and Regression
- Topic 6: Understand Design of Experiments
- Topic 7: Predictive Modeling and Text Mining