About this Course

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Beginner Level

No prior knowledge of statistics or experience with JMP software is required.

Approx. 44 hours to complete
English

What you will learn

  • How to describe data with statistical summaries, and how to explore your data using advanced visualizations.

  • Understand statistical intervals, hypothesis tests and how to calculate sample size.

  • How to fit, evaluate and interpret linear and logistic regression models.

  • How to build predictive models and conduct a statistically designed experiment.

Skills you will gain

Experimental DesignData AnalysisData Visualization (DataViz)Statistical Hypothesis TestingStatistics
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Beginner Level

No prior knowledge of statistics or experience with JMP software is required.

Approx. 44 hours to complete
English

Offered by

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SAS

Syllabus - What you will learn from this course

Week
1

Week 1

19 minutes to complete

Course Overview

19 minutes to complete
3 videos (Total 13 min), 4 readings, 1 quiz
3 videos
Why You Need a Foundation in Statistical Thinking4m
First Time Using JMP? View the JMP Quickstart Video6m
4 readings
Learner Prerequisites1m
Taking this Course2m
Using Forums and Getting Help1m
Using the JMP Virtual Lab1m
2 hours to complete

Module 1: Statistical Thinking and Problem Solving

2 hours to complete
26 videos (Total 72 min), 3 readings, 17 quizzes
26 videos
What Is Statistical Thinking?4m
Overview of Problem Solving2m
Statistical Problem Solving1m
Types of Problems2m
Defining the Problem3m
Goals and Key Performance Indicators3m
The White Polymer Case Study2m
What Is a Process?3m
Developing a SIPOC Map1m
Developing an Input/Output Process Map4m
Top-Down and Deployment Flowcharts2m
Summary2m
Tools for Identifying Potential Causes2m
Brainstorming4m
Multi-voting2m
Using Affinity Diagrams2m
Cause-and-Effect Diagrams4m
The 5 Whys1m
Cause-and-Effect Matrices1m
Summary1m
Data Collection for Problem Solving2m
Types of Data2m
Operational Definitions4m
Data Collection Strategies4m
Importing Data for Analysis1m
3 readings
Activity: Developing a Cause-and-Effect Diagram10m
Read About It5m
Summary: Statistical Thinking and Problem Solving 1m
16 practice exercises
Question 1.011m
Question 1.031m
Question 1.041m
Question 1.061m
Question 1.071m
Question 1.081m
Question 1.091m
Question 1.101m
Question 1.121m
Question 1.131m
Question 1.151m
Question 1.161m
Questions 1.18 - 1.192m
Question 1.201m
Question 1.211m
Questions 1.23-1.253m
Week
2

Week 2

6 hours to complete

Module 2A: Exploratory Data Analysis, Part 1

6 hours to complete
50 videos (Total 184 min)
50 videos
Introduction to Descriptive Statistics1m
Types of Data5m
Histograms4m
Demo: Creating Histograms in JMP4m
Demo: Saving Your Work Using Scripts1m
The Chemical Manufacturing Case Study38s
The White Polymer Case Study1m
Measures of Central Tendency and Location6m
Demo: Summarizing Continuous Data with the Distribution Platform4m
Demo: Summarizing Continuous Data with Column Viewer and Tabulate4m
Measures of Spread: Range and Interquartile Range5m
Demo: Hiding and Excluding Data2m
Measures of Spread: Variance and Standard Deviation4m
Visualizing Continuous Data7m
Demo: Creating Tabular Summaries with Tabulate2m
Demo: Creating Scatterplots and Scatterplot Matrices3m
Demo: Creating Comparative Box Plots with Graph Builder2m
Demo: Creating Run Charts (Line Graphs) with Graph Builder2m
Describing Categorical Data5m
Creating Tabular Summaries for Categorical Data3m
Demo: Creating Bar Charts and Mosaic Plots4m
Review and Introduction to Probability Concepts2m
Samples and Populations4m
Understanding the Normal Distribution3m
Checking for Normality6m
Demo: Checking for Normality2m
Demo: Finding the Area Under a Curve2m
The Central Limit Theorem4m
Demo: Exploring the Central Limit Theorem3m
Introduction to Exploratory Data Analysis3m
Exploring Continuous Data: Enhanced Tools6m
Demo: Adding Markers, Colors, and Row Legends3m
Demo: Switching Columns in an Analysis2m
Pareto Plots6m
Demo: Creating Sorted Bar Charts and Pareto Plots3m
Packed Bar Charts and Data Filtering3m
Demo: Creating Packed Bar Charts2m
Demo: Using the Local Data Filter3m
Tree Maps and Mosaic Plots4m
Demo: Creating a Tree Map2m
Using Trellis Plots and Overlay Variables5m
Demo: Creating Trellis Plots and Using Overlay Variables3m
Bubble Plots and Heat Maps2m
Demo: Creating Bubble Plots3m
Demo: Creating Heat Maps3m
Visualizing Geographic and Spatial Data6m
Demo: Creating a Geographic Map Using Shape Files2m
Demo: Creating Maps Using Coordinates3m
Summary of Exploratory Data Analysis Tools2m
31 practice exercises
Question 2.012m
Question 2.022m
Practice: Understanding Yield for a Chemical Manufacturing Process10m
Practice: Exploring the Relationship Between Variables10m
Question 2.03 - 2.041m
Practice: Summarizing Continuous Data with the Distribution Platform10m
Question 2.06 - 2.072m
Practice: Understanding Box Plots10m
Question 2.082m
Question 2.092m
Practice: Visualizing Continuous Data10m
Question 2.10 - 2.112m
Practice: Visualizing Categorical Data10m
Question 2.131m
Question 2.151m
Practice: Checking for Normality10m
Practice: Recognizing Shapes in Normal Quantile Plots10m
Practice: Exploring the Central Limit Theorem10m
Question 2.161m
Practice: Exploring Many Variables Using the Column Switcher10m
Question 2.17 - 2.182m
Practice: Creating Sorted Bar Charts in JMP10m
Question 2.191m
Practice: Exploring Data with a Local Data Filter10m
Question 2.201m
Practice: Exploring Data with a Tree Map and Mosaic Plot10m
Practice: Exploring Data Using Trellis Plots10m
Question 2.211m
Practice: Exploring Data Using Bubble Plots and Heat Maps10m
Question 2.221m
Practice: Exploring Data with a Geographic Map10m
Week
3

Week 3

6 hours to complete

Module 2B: Exploratory Data Analysis, Part 2

6 hours to complete
36 videos (Total 114 min), 2 readings, 33 quizzes
36 videos
Creating Effective Visualizations1m
Evaluating the Effectiveness of a Visualization4m
Designing an Effective Visualization: Part 13m
Designing an Effective Visualization: Part 25m
Communicating Visually with Animation2m
Designing for Your Audience3m
Understanding Your Target Audience5m
Designing Visualizations for Communication52s
Designing Visualizations: The Do's5m
Designing Visualizations: The Don'ts2m
Demo: Customizing Graphics3m
Introduction to Saving and Sharing Results2m
Saving and Sharing Results in JMP3m
Saving and Sharing Results outside of JMP3m
Deciding Which Format to Use1m
Demo: Organizing Your Saved Scripts2m
Demo: Combining JMP Scripts for Analyses3m
Demo: Sharing Static Output2m
Demo: Saving Your Work in a JMP Journal4m
Data Tables Essentials2m
Common Data Quality Issues5m
Identifying Issues in the Data Table4m
Identifying Issues One Variable at a Time3m
Summarizing What You Have Learned3m
Demo: Exploring Missing Values3m
Demo: Using Recode3m
Restructuring Data for Analysis2m
Demo: Stacking and Splitting Data2m
Combining Data2m
Demo: Concatenating Data Tables1m
Demo: Joining Data Tables2m
Deriving New Variables2m
Demo: Binning Data Using Conditional IF-THEN Statements3m
Demo: Transforming Data2m
Working with Dates1m
2 readings
Read About It2m
Summary - Exploratory Data Analysis1m
31 practice exercises
Question 2.241m
Question 2.251m
Question 2.262m
Question 2.28 - 2.292m
Practice: Customizing Graphics10m
Practice: Creating a Slope Graph10m
Question 2.31 - 2.322m
Question 2.331m
Practice: Exploring Reports Published on JMP Public10m
Practice: Grouping and Combining Analysis Scripts10m
Practice: Creating a Simple Dashboard10m
Practice: Using a JMP Journal to Document Your Work10m
Question 2.342m
Question 2.352m
Practice: Creating the Formula for Scrap Rate10m
Practice: Checking the Data Table for Issues10m
Question 2.361m
Practice: Checking Data Quality with Summary Statistics and Graphs10m
Question 2.37 - 2.382m
Question 2.391m
Practice: Exploring Missing Data15m
Practice: Recoding Missing Values10m
Practice: Using Recode to Bin Data10m
Question 2.401m
Practice: Stacking Data10m
Question 2.411m
Practice: Concatenating Data Tables10m
Practice: Joining Data Tables10m
Practice: Creating a Binning Formula10m
Practice: Extracting Information from a Column10m
Practice: Working with Dates10m
Week
4

Week 4

6 hours to complete

Module 3: Quality Methods

6 hours to complete
41 videos (Total 154 min), 3 readings, 28 quizzes
41 videos
Quality Methods Overview4m
Introduction to Control Charts6m
Individual and Moving Range Charts4m
Demo: Creating an I and MR Chart Using the Control Chart Builder2m
Common Cause versus Special Cause Variation6m
Testing for Special Causes6m
Demo: Testing for Special Causes in the Control Chart Builder2m
X-bar and R and X-bar and S Charts3m
Demo: Creating X-bar and R and X-bar and S Charts2m
Rational Subgrouping4m
3-Way Control Charts2m
Demo: Creating 3-Way Control Charts2m
Control Charts with Phases3m
Demo: Adding Phases to Control Charts1m
The Voice of the Customer2m
Process Capability Indices5m
Short- and Long-Term Estimates of Capability2m
Understanding Capability for Process Improvement4m
Estimating Process Capability: An Example4m
Demo: Calculating Capability Indices Using the Distribution Platform5m
Demo: Conducting a Capability Analysis Using the Control Chart Builder2m
Calculating Capability for Nonnormal Data3m
Demo: Estimating Capability for Nonnormal Data3m
Estimating Process Capability for Many Variables2m
Identifying Poorly Performing Processes4m
Demo: Identifying Poorly Performing Processes5m
A View from Industry6m
What is a Measurement Systems Analysis2m
Language and Terminology4m
Designing a Measurement System Study2m
Designing and Conducting an MSA4m
Demo: Creating a Gauge Study Worksheet1m
Analyzing an MSA with Visualizations6m
Demo: Visualizing Measurement System Variation4m
Analyzing the MSA4m
Demo: Analyzing an MSA2m
Demo: Conducting a Gauge R&R Analysis4m
Studying Measurement System Accuracy3m
Demo: Analyzing Measurement System Bias2m
Improving the Measurement Process2m
3 readings
Activity: Area MSA5m
Read About It1m
Summary: Quality Methods1m
26 practice exercises
Question 3.021m
Practice: Creating an I and MR Chart10m
Question 3.032m
Question 3.041m
Practice: Creating I and MR Charts for the White Polymer Case Study10m
Practice: Constructing an X-Bar and S Chart10m
Question 3.051m
Question 3.061m
Practice: Evaluating whether Improvements Have Been Sustained10m
Practice: Using Control Charts as an Exploratory Tool10m
Question 3.071m
Question 3.082m
Activity: Calculating Capability Indices2m
Question 3.091m
Question 3.10 - 3.112m
Practice: Calculating Capability Indices10m
Practice: Conducting a Capability Analysis with a Phase Variable10m
Practice: Conducting a Capability Analysis with Nonnormal Data10m
Question 3.122m
Question 3.131m
Practice: Designing a Gauge Study10m
Practice: Visualizing the Area Measurement MSA Data10m
Practice: Visualizing the MFI MSA Data10m
Practice: Analyze the Area Measurement MSA Data10m
Practice: Analyzing the Melt Flow Index MSA10m
Question 3.151m

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