Course curriculum

    1. Welcome from Predictum and your instructor, Wayne Levin

    2. How to use this course

    1. JMP Orientation: JMP Data Table

    2. JMP Orientation: Window Navigation (MacOS)

    3. JMP Orientation: Window Navigation (Windows)

    4. JMP Orientation: Getting Help

    5. Setting JMP Preferences

    6. Exercise

    7. Data Cleaning: Introduction

    8. Data Cleaning: Importing Data - MacOS

    9. Data Cleaning: Fixing Data Attributes

    10. Data Cleaning: Joining Data Tables

    11. Identifying Modeling Types and Data Types

    12. Importing Gone Wrong

    13. Selecting Observations

    14. Data Exploration

    15. Exercise: Making Graphs

    16. Large Data

    17. Making Presentations

    18. Exercise: Creating Presentations

    19. Bonus: JMP Row States

    1. Principles of Graphical Excellence

    2. Univariate Graphs

    3. Univariate Graph Exercise

    4. Bivariate Graphs

    5. Bivariate Graph Exercise

    6. Multivariate Graphs

    7. Multivariate Graphs (Bubble Plot Exercise)

    8. Graph Axis Management (Bonus)

    1. Data Independence (Bonus)

    2. Inferential Analysis

    3. Sample Size & Power Demonstration

    4. One Sample Means Test

    5. One Sample Means Test Demo

    6. One Sample Means Exercise

    7. Two Sample Means Test

    8. Two Sample Means Exercise

    9. Paired Comparison

    10. Tests for Variance & Standard Deviation

    11. Normality Test

    1. Index of Variability

    2. Introduction to Intervals

    3. Confidence Intervals

    4. Exercise 1: Using Two-Sample Mean Confidence Intervals

    5. Prediction Intervals

    6. Tolerance Intervals

    1. ANOVA

    2. Definitions

    3. Assumptions

    4. Oneway ANOVA

    5. Exercise 1: Comparing Tools

    6. Exercise 2: Comparing Recipes

    7. Multiple Comparisons

    8. Nonparametric Tests

    9. 5.01 Summary Questions

    10. Equivalence Tests (Bonus)

About this course

  • $895.00
  • 74 lessons
  • 12.5 hours of video content
  • Corporate discounts available