Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to:
Statistical Thinking for Industrial Problem Solving, presented by JMP
Statistical Thinking for Industrial Problem Solving, presented by JMP
Instructor: Mia Stephens
Access provided by VodafoneZiggo
12,279 already enrolled
Gain insight into a topic and learn the fundamentals.
4.8
99 reviews
Beginner level
Recommended experience
Recommended experience
Beginner level
No prior knowledge of statistics or experience with JMP software is required.
Flexible schedule
5 weeks at 10 hours a week
Learn at your own pace
94%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.8
99 reviews
Beginner level
Recommended experience
Recommended experience
Beginner level
No prior knowledge of statistics or experience with JMP software is required.
Flexible schedule
5 weeks at 10 hours a week
Learn at your own pace
94%
Most learners liked this course
What you'll 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'll gain
- Descriptive Statistics
- Data-Driven Decision-Making
- Probability & Statistics
- Statistical Inference
- Data Visualization
- Statistics
- Correlation Analysis
- Statistical Modeling
- Statistical Analysis
- Exploratory Data Analysis
- Regression Analysis
- Data Collection
- Statistical Methods
- Data Analysis
- Statistical Hypothesis Testing
- Predictive Modeling
- Data Compilation
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
229 assignments
Taught in English
See how employees at top companies are mastering in-demand skills
There are 10 modules in this course
In this module you learn about the course and about accessing JMP software in this course.
What's included
3 videos4 readings1 app item
3 videos• Total 13 minutes
- Course Overview• 2 minutes
- Why You Need a Foundation in Statistical Thinking• 4 minutes
- First Time Using JMP? View the JMP Quickstart Video• 7 minutes
4 readings• Total 5 minutes
- Learner Prerequisites• 1 minute
- Taking this Course• 2 minutes
- Using Forums and Getting Help• 1 minute
- Using the JMP Virtual Lab• 1 minute
1 app item• Total 60 minutes
- Access the JMP Virtual Lab - New• 60 minutes
Statistical thinking is about understanding, controlling and reducing process variation. Learn about process maps, problem-solving tools for defining and scoping your project, and understanding the data you need to solve your problem.
What's included
26 videos3 readings16 assignments1 app item7 plugins
26 videos• Total 72 minutes
- Introduction• 1 minute
- What Is Statistical Thinking?• 4 minutes
- Overview of Problem Solving• 2 minutes
- Statistical Problem Solving• 2 minutes
- Types of Problems• 3 minutes
- Defining the Problem• 4 minutes
- Goals and Key Performance Indicators• 3 minutes
- The White Polymer Case Study• 3 minutes
- What Is a Process?• 4 minutes
- Developing a SIPOC Map• 2 minutes
- Developing an Input/Output Process Map• 4 minutes
- Top-Down and Deployment Flowcharts• 3 minutes
- Summary• 3 minutes
- Tools for Identifying Potential Causes• 2 minutes
- Brainstorming• 5 minutes
- Multi-voting• 2 minutes
- Using Affinity Diagrams• 2 minutes
- Cause-and-Effect Diagrams• 4 minutes
- The 5 Whys• 1 minute
- Cause-and-Effect Matrices• 2 minutes
- Summary• 1 minute
- Data Collection for Problem Solving• 2 minutes
- Types of Data• 2 minutes
- Operational Definitions• 5 minutes
- Data Collection Strategies• 5 minutes
- Importing Data for Analysis• 1 minute
3 readings• Total 16 minutes
- Activity: Developing a Cause-and-Effect Diagram• 10 minutes
- Read About It• 5 minutes
- Summary: Statistical Thinking and Problem Solving • 1 minute
16 assignments• Total 19 minutes
- Question 1.01• 1 minute
- Question 1.03• 1 minute
- Question 1.04• 1 minute
- Question 1.06• 1 minute
- Question 1.07• 1 minute
- Question 1.08• 1 minute
- Question 1.09• 1 minute
- Question 1.10• 1 minute
- Question 1.12• 1 minute
- Question 1.13• 1 minute
- Question 1.15• 1 minute
- Question 1.16• 1 minute
- Questions 1.18 - 1.19• 2 minutes
- Question 1.20• 1 minute
- Question 1.21• 1 minute
- Questions 1.23-1.25• 3 minutes
1 app item• Total 20 minutes
- Statistical Thinking and Problem Solving Quiz• 20 minutes
7 plugins• Total 17 minutes
- Think About it 1.02• 2 minutes
- Think About it 1.05• 1 minute
- Think About it 1.11• 1 minute
- Practice: Developing a SIPOC or I/O Map• 10 minutes
- Think About it 1.14• 1 minute
- Think About it 1.17• 1 minute
- Think About it 1.22• 1 minute
Learn the basics of how to describe data with basic graphics and statistical summaries, and how to explore your data using more advanced visualizations. You’ll also learn some core concepts in probability, which form the foundation of many methods you learn throughout this course.
What's included
50 videos31 assignments1 app item4 plugins
50 videos• Total 184 minutes
- Introduction• 1 minute
- Introduction to Descriptive Statistics• 2 minutes
- Types of Data• 5 minutes
- Histograms• 4 minutes
- Demo: Creating Histograms in JMP• 4 minutes
- Demo: Saving Your Work Using Scripts• 2 minutes
- The Chemical Manufacturing Case Study• 1 minute
- The White Polymer Case Study• 1 minute
- Measures of Central Tendency and Location• 6 minutes
- Demo: Summarizing Continuous Data with the Distribution Platform• 4 minutes
- Demo: Summarizing Continuous Data with Column Viewer and Tabulate• 4 minutes
- Measures of Spread: Range and Interquartile Range• 5 minutes
- Demo: Hiding and Excluding Data• 3 minutes
- Measures of Spread: Variance and Standard Deviation• 4 minutes
- Visualizing Continuous Data• 8 minutes
- Demo: Creating Tabular Summaries with Tabulate• 2 minutes
- Demo: Creating Scatterplots and Scatterplot Matrices• 3 minutes
- Demo: Creating Comparative Box Plots with Graph Builder• 2 minutes
- Demo: Creating Run Charts (Line Graphs) with Graph Builder• 2 minutes
- Describing Categorical Data• 5 minutes
- Creating Tabular Summaries for Categorical Data• 3 minutes
- Demo: Creating Bar Charts and Mosaic Plots• 4 minutes
- Review and Introduction to Probability Concepts• 2 minutes
- Samples and Populations• 4 minutes
- Understanding the Normal Distribution• 4 minutes
- Checking for Normality• 7 minutes
- Demo: Checking for Normality• 2 minutes
- Demo: Finding the Area Under a Curve• 3 minutes
- The Central Limit Theorem• 5 minutes
- Demo: Exploring the Central Limit Theorem• 3 minutes
- Introduction to Exploratory Data Analysis• 4 minutes
- Exploring Continuous Data: Enhanced Tools• 7 minutes
- Demo: Adding Markers, Colors, and Row Legends• 4 minutes
- Demo: Switching Columns in an Analysis• 2 minutes
- Pareto Plots• 6 minutes
- Demo: Creating Sorted Bar Charts and Pareto Plots• 3 minutes
- Packed Bar Charts and Data Filtering• 4 minutes
- Demo: Creating Packed Bar Charts• 2 minutes
- Demo: Using the Local Data Filter• 3 minutes
- Tree Maps and Mosaic Plots• 5 minutes
- Demo: Creating a Tree Map• 2 minutes
- Using Trellis Plots and Overlay Variables• 6 minutes
- Demo: Creating Trellis Plots and Using Overlay Variables• 3 minutes
- Bubble Plots and Heat Maps• 3 minutes
- Demo: Creating Bubble Plots• 4 minutes
- Demo: Creating Heat Maps• 3 minutes
- Visualizing Geographic and Spatial Data• 7 minutes
- Demo: Creating a Geographic Map Using Shape Files• 3 minutes
- Demo: Creating Maps Using Coordinates• 4 minutes
- Summary of Exploratory Data Analysis Tools• 3 minutes
31 assignments• Total 182 minutes
- Question 2.01• 2 minutes
- Question 2.02• 2 minutes
- Practice: Understanding Yield for a Chemical Manufacturing Process• 10 minutes
- Practice: Exploring the Relationship Between Variables• 10 minutes
- Question 2.03 - 2.04• 1 minute
- Practice: Summarizing Continuous Data with the Distribution Platform• 10 minutes
- Question 2.06 - 2.07• 2 minutes
- Practice: Understanding Box Plots• 10 minutes
- Question 2.08• 2 minutes
- Question 2.09• 2 minutes
- Practice: Visualizing Continuous Data• 10 minutes
- Question 2.10 - 2.11• 2 minutes
- Practice: Visualizing Categorical Data• 10 minutes
- Question 2.13• 1 minute
- Question 2.15• 1 minute
- Practice: Checking for Normality• 10 minutes
- Practice: Recognizing Shapes in Normal Quantile Plots• 10 minutes
- Practice: Exploring the Central Limit Theorem• 10 minutes
- Question 2.16• 1 minute
- Practice: Exploring Many Variables Using the Column Switcher• 10 minutes
- Question 2.17 - 2.18• 2 minutes
- Practice: Creating Sorted Bar Charts in JMP• 10 minutes
- Question 2.19• 1 minute
- Practice: Exploring Data with a Local Data Filter• 10 minutes
- Question 2.20• 1 minute
- Practice: Exploring Data with a Tree Map and Mosaic Plot• 10 minutes
- Practice: Exploring Data Using Trellis Plots• 10 minutes
- Question 2.21• 1 minute
- Practice: Exploring Data Using Bubble Plots and Heat Maps• 10 minutes
- Question 2.22• 1 minute
- Practice: Exploring Data with a Geographic Map• 10 minutes
1 app item• Total 60 minutes
- Access the JMP Virtual Lab - New• 60 minutes
4 plugins• Total 11 minutes
- Think About It 2.05• 2 minutes
- Think About It 2.12• 2 minutes
- Think About It 2.14• 2 minutes
- Try It and Think About It 2.12• 5 minutes
Learn how to use interactive visualizations to effectively communicate the story in your data. You'll also learn how to save and share your results, and how to prepare your data for analysis.
What's included
36 videos2 readings31 assignments2 app items2 plugins
36 videos• Total 115 minutes
- Introduction to Communicating with Data• 3 minutes
- Creating Effective Visualizations• 2 minutes
- Evaluating the Effectiveness of a Visualization• 5 minutes
- Designing an Effective Visualization: Part 1• 4 minutes
- Designing an Effective Visualization: Part 2• 6 minutes
- Communicating Visually with Animation• 3 minutes
- Designing for Your Audience• 4 minutes
- Understanding Your Target Audience• 5 minutes
- Designing Visualizations for Communication• 1 minute
- Designing Visualizations: The Do's• 5 minutes
- Designing Visualizations: The Don'ts• 2 minutes
- Demo: Customizing Graphics• 4 minutes
- Introduction to Saving and Sharing Results• 2 minutes
- Saving and Sharing Results in JMP• 3 minutes
- Saving and Sharing Results outside of JMP• 3 minutes
- Deciding Which Format to Use• 1 minute
- Demo: Organizing Your Saved Scripts• 3 minutes
- Demo: Combining JMP Scripts for Analyses• 3 minutes
- Demo: Sharing Static Output• 3 minutes
- Demo: Saving Your Work in a JMP Journal• 4 minutes
- Data Tables Essentials• 2 minutes
- Common Data Quality Issues• 5 minutes
- Identifying Issues in the Data Table• 4 minutes
- Identifying Issues One Variable at a Time• 4 minutes
- Summarizing What You Have Learned• 4 minutes
- Demo: Exploring Missing Values• 3 minutes
- Demo: Using Recode• 3 minutes
- Restructuring Data for Analysis• 3 minutes
- Demo: Stacking and Splitting Data• 2 minutes
- Combining Data• 3 minutes
- Demo: Concatenating Data Tables• 2 minutes
- Demo: Joining Data Tables• 3 minutes
- Deriving New Variables• 2 minutes
- Demo: Binning Data Using Conditional IF-THEN Statements• 3 minutes
- Demo: Transforming Data• 3 minutes
- Working with Dates• 2 minutes
2 readings• Total 3 minutes
- Read About It• 2 minutes
- Summary - Exploratory Data Analysis• 1 minute
31 assignments• Total 204 minutes
- Question 2.24• 1 minute
- Question 2.25• 1 minute
- Question 2.26• 2 minutes
- Question 2.28 - 2.29• 2 minutes
- Practice: Customizing Graphics• 10 minutes
- Practice: Creating a Slope Graph• 10 minutes
- Question 2.31 - 2.32• 2 minutes
- Question 2.33• 1 minute
- Practice: Exploring Reports Published on JMP Public• 10 minutes
- Practice: Grouping and Combining Analysis Scripts• 10 minutes
- Practice: Creating a Simple Dashboard• 10 minutes
- Practice: Using a JMP Journal to Document Your Work• 10 minutes
- Question 2.34• 2 minutes
- Question 2.35• 2 minutes
- Practice: Creating the Formula for Scrap Rate• 10 minutes
- Practice: Checking the Data Table for Issues• 10 minutes
- Question 2.36• 1 minute
- Practice: Checking Data Quality with Summary Statistics and Graphs• 10 minutes
- Question 2.37 - 2.38• 2 minutes
- Question 2.39• 1 minute
- Practice: Exploring Missing Data• 15 minutes
- Practice: Recoding Missing Values• 10 minutes
- Practice: Using Recode to Bin Data• 10 minutes
- Question 2.40• 1 minute
- Practice: Stacking Data• 10 minutes
- Question 2.41• 1 minute
- Practice: Concatenating Data Tables• 10 minutes
- Practice: Joining Data Tables• 10 minutes
- Practice: Creating a Binning Formula• 10 minutes
- Practice: Extracting Information from a Column• 10 minutes
- Practice: Working with Dates• 10 minutes
2 app items• Total 80 minutes
- Access the JMP Virtual Lab - New• 60 minutes
- Exploratory Data Analysis Quiz• 20 minutes
2 plugins• Total 7 minutes
- Think About It and Try It 2.27• 5 minutes
- Think About It 2.30• 2 minutes
Learn about tools for quantifying, controlling and reducing variation in your product, service or process. Topics include control charts, process capability and measurement systems analysis.
What's included
41 videos3 readings26 assignments2 app items2 plugins
41 videos• Total 154 minutes
- Introduction• 1 minute
- Quality Methods Overview• 4 minutes
- Introduction to Control Charts• 6 minutes
- Individual and Moving Range Charts• 4 minutes
- Demo: Creating an I and MR Chart Using the Control Chart Builder• 3 minutes
- Common Cause versus Special Cause Variation• 6 minutes
- Testing for Special Causes• 7 minutes
- Demo: Testing for Special Causes in the Control Chart Builder• 3 minutes
- X-bar and R and X-bar and S Charts• 4 minutes
- Demo: Creating X-bar and R and X-bar and S Charts• 3 minutes
- Rational Subgrouping• 5 minutes
- 3-Way Control Charts• 2 minutes
- Demo: Creating 3-Way Control Charts• 2 minutes
- Control Charts with Phases• 3 minutes
- Demo: Adding Phases to Control Charts• 1 minute
- The Voice of the Customer• 3 minutes
- Process Capability Indices• 5 minutes
- Short- and Long-Term Estimates of Capability• 2 minutes
- Understanding Capability for Process Improvement• 5 minutes
- Estimating Process Capability: An Example• 4 minutes
- Demo: Calculating Capability Indices Using the Distribution Platform• 5 minutes
- Demo: Conducting a Capability Analysis Using the Control Chart Builder• 3 minutes
- Calculating Capability for Nonnormal Data• 4 minutes
- Demo: Estimating Capability for Nonnormal Data• 3 minutes
- Estimating Process Capability for Many Variables• 2 minutes
- Identifying Poorly Performing Processes• 4 minutes
- Demo: Identifying Poorly Performing Processes• 5 minutes
- A View from Industry• 6 minutes
- What is a Measurement Systems Analysis• 3 minutes
- Language and Terminology• 5 minutes
- Designing a Measurement System Study• 3 minutes
- Designing and Conducting an MSA• 5 minutes
- Demo: Creating a Gauge Study Worksheet• 2 minutes
- Analyzing an MSA with Visualizations• 6 minutes
- Demo: Visualizing Measurement System Variation• 4 minutes
- Analyzing the MSA• 4 minutes
- Demo: Analyzing an MSA, EMP Method• 2 minutes
- Demo: Conducting a Gauge R&R Analysis• 4 minutes
- Studying Measurement System Accuracy• 4 minutes
- Demo: Analyzing Measurement System Bias• 3 minutes
- Improving the Measurement Process• 3 minutes
3 readings• Total 7 minutes
- Activity: Area MSA• 5 minutes
- Read About It• 1 minute
- Summary: Quality Methods• 1 minute
26 assignments• Total 148 minutes
- Question 3.02• 1 minute
- Practice: Creating an I and MR Chart• 10 minutes
- Question 3.03• 2 minutes
- Question 3.04• 1 minute
- Practice: Creating I and MR Charts for the White Polymer Case Study• 10 minutes
- Practice: Constructing an X-Bar and S Chart• 10 minutes
- Question 3.05• 1 minute
- Question 3.06• 1 minute
- Practice: Evaluating whether Improvements Have Been Sustained• 10 minutes
- Practice: Using Control Charts as an Exploratory Tool• 10 minutes
- Question 3.07• 1 minute
- Question 3.08• 2 minutes
- Activity: Calculating Capability Indices• 2 minutes
- Question 3.09• 1 minute
- Question 3.10 - 3.11• 2 minutes
- Practice: Calculating Capability Indices• 10 minutes
- Practice: Conducting a Capability Analysis with a Phase Variable• 10 minutes
- Practice: Conducting a Capability Analysis with Nonnormal Data• 10 minutes
- Question 3.12• 2 minutes
- Question 3.13• 1 minute
- Practice: Designing a Gauge Study• 10 minutes
- Practice: Visualizing the Area Measurement MSA Data• 10 minutes
- Practice: Visualizing the MFI MSA Data• 10 minutes
- Practice: Analyze the Area Measurement MSA Data• 10 minutes
- Practice: Analyzing the Melt Flow Index MSA• 10 minutes
- Question 3.15• 1 minute
2 app items• Total 80 minutes
- Access the JMP Virtual Lab - New• 60 minutes
- Quality Methods Quiz• 20 minutes
2 plugins• Total 3 minutes
- Think About It 3.01• 2 minutes
- Think About It 3.14• 1 minute
Learn about tools used for drawing inferences from data. In this module you learn about statistical intervals and hypothesis tests. You also learn how to calculate sample size and see the relationship between sample size and power.
What's included
47 videos2 readings38 assignments2 app items5 plugins
47 videos• Total 155 minutes
- Introduction to Decision Making with Data• 1 minute
- Introduction to Statistical Inference• 3 minutes
- What Is a Confidence Interval?• 2 minutes
- A Practical Example• 2 minutes
- Estimating a Mean• 5 minutes
- Visualizing Sampling Variation• 4 minutes
- Constructing Confidence Intervals• 5 minutes
- Demo: Understanding the Confidence Level and Alpha Risk• 3 minutes
- Demo: Calculating Confidence Intervals• 2 minutes
- Prediction Intervals• 4 minutes
- Tolerance Intervals• 5 minutes
- Demo: Calculating Prediction and Tolerance Intervals• 3 minutes
- Comparing Interval Estimates• 2 minutes
- Introduction to Statistical Testing• 1 minute
- Statistical Decision Making• 5 minutes
- Understanding the Null and Alternative Hypothesis• 3 minutes
- Sampling Distribution under the Null• 4 minutes
- The p-Value and Statistical Significance• 5 minutes
- Summary of Foundations in Statistical Testing• 2 minutes
- Conducting a One-Sample t Test• 6 minutes
- Demo: Conducting a One-Sample t Test• 4 minutes
- Demo: Understanding p-Values and t Ratios• 3 minutes
- Equivalence Testing• 3 minutes
- Comparing Two Means• 4 minutes
- Two-Sample t Tests• 5 minutes
- Unequal Variances Tests• 2 minutes
- Demo: Conducting a Two-Sample t Test• 4 minutes
- Paired Observations• 5 minutes
- Demo: Performing a Paired t Test• 2 minutes
- Comparing More Than Two Means• 3 minutes
- One-Way ANOVA (Analysis of Variance)• 6 minutes
- Multiple Comparisons• 4 minutes
- Demo: Comparing More Than Two Means• 5 minutes
- Revisiting Statistical Versus Practical Significance• 3 minutes
- Summary of Hypothesis Testing for Continuous Data• 2 minutes
- Introduction to Sample Size and Power• 3 minutes
- Sample Size for a Confidence Interval for the Mean• 4 minutes
- Demo: Calculating the Sample Size for a Confidence Interval• 3 minutes
- Outcomes of Statistical Tests• 6 minutes
- Statistical Power• 3 minutes
- Exploring Sample Size and Power• 5 minutes
- Demo: Exploring the Power Animation• 3 minutes
- Calculating the Sample Size for One-Sample t Tests• 2 minutes
- Demo: Calculating the Sample Size for a One-Sample t Test• 2 minutes
- Calculating the Sample Size for Two-Sample t Tests• 2 minutes
- Demo: Calculating the Sample Size for Two or More Sample Means• 3 minutes
- Summary of Sample Size and Power• 2 minutes
2 readings• Total 2 minutes
- Read About It• 1 minute
- Summary: Decision Making with Data• 1 minute
38 assignments• Total 207 minutes
- Question 4.01• 1 minute
- Question 4.02• 1 minute
- Question 4.03• 1 minute
- Questions 4.04 - 4.06• 2 minutes
- Practice: Constructing a Confidence Interval• 10 minutes
- Practice: Comparing Intervals at Different Confidence Levels• 10 minutes
- Practice: Constructing a Confidence Interval for the Speed of Light• 10 minutes
- Question 4.07• 1 minute
- Question 4.08• 1 minute
- Practice: Constructing Prediction and Tolerance Intervals• 10 minutes
- Question 4.09• 2 minutes
- Practice: Comparing Interval Estimates• 10 minutes
- Question 4.11• 1 minute
- Questions 4.12 - 4.14• 3 minutes
- Question 4.15• 1 minute
- Questions 4.16 - 4.18• 3 minutes
- Question 4.20• 1 minute
- Practice: Conducting a One-Sample t Test• 10 minutes
- Practice: Conducting a One-Sample t Test with a BY Variable• 10 minutes
- Practice: Conducting an Equivalence Test• 10 minutes
- Question 4.21• 1 minute
- Practice: Conducting a Two-Sample t Test• 10 minutes
- Practice: Conducting an Equivalence Test for Two Means• 10 minutes
- Practice: Conducting an Unequal Variances Test• 10 minutes
- Question 4.22• 1 minute
- Practice: Conducting a Paired t Test• 10 minutes
- Question 4.23• 1 minute
- Practice: Conducting a One-Way ANOVA Analysis• 10 minutes
- Practice: Comparing Several Means• 10 minutes
- Question 4.25• 1 minute
- Question 4.26• 1 minute
- Practice: Calculating Sample Size for a CI for a Mean• 10 minutes
- Practice: Calculating Sample Size for a CI for a Proportion• 10 minutes
- Question 4.27 - 4.28• 2 minutes
- Question 4.30• 1 minute
- Question 4.31• 1 minute
- Practice: Calculating Sample Size for a One-Sample t Test• 10 minutes
- Practice: Calculating Sample Size for a Two-Sample t Test• 10 minutes
2 app items• Total 80 minutes
- Access the JMP Virtual Lab - New• 60 minutes
- Decision Making with Data Quiz• 20 minutes
5 plugins• Total 5 minutes
- Think About it 4.10• 1 minute
- Think About it 4.19• 1 minute
- Think About it 4.24• 1 minute
- Question 4.29• 1 minute
- Think About it 4.32• 1 minute
Learn how to use scatterplots and correlation to study the linear association between pairs of variables. Then, learn how to fit, evaluate and interpret linear and logistic regression models.
What's included
43 videos2 readings30 assignments2 app items5 plugins
43 videos• Total 149 minutes
- Introduction• 1 minute
- What Is Correlation?• 3 minutes
- Interpreting Correlation• 3 minutes
- Demo: Exploring the Impact of Outliers on Correlation• 1 minute
- Demo: Assessing Correlations• 4 minutes
- Introduction to Regression Analysis• 6 minutes
- Demo: Fitting a Regression Model• 2 minutes
- The Simple Linear Regression Model• 4 minutes
- The Method of Least Squares• 2 minutes
- Demo: The Method of Least Squares• 2 minutes
- Visualizing the Method of Least Squares• 1 minute
- Regression Model Assumptions• 6 minutes
- Demo: Evaluating Model Assumptions• 2 minutes
- Interpreting Regression Results• 6 minutes
- Demo: Interpreting Regression Analysis Results• 3 minutes
- Fitting a Model with Curvature• 4 minutes
- Demo: Fitting Polynomial Models• 2 minutes
- What is Multiple Linear Regression?• 4 minutes
- Fitting the Multiple Linear Regression Model• 5 minutes
- Demo: Fitting Multiple Linear Regression Models• 3 minutes
- Interpreting Results in Explanatory Modeling• 7 minutes
- Demo: Using the Prediction Profiler• 3 minutes
- Residual Analysis and Outliers• 6 minutes
- Demo: Analyzing Residuals and Outliers• 3 minutes
- Multiple Linear Regression with Categorical Predictors• 5 minutes
- Demo: Fitting a Model with Categorical Predictors• 2 minutes
- Multiple Linear Regression with Interactions• 5 minutes
- Demo: Fitting a Model with Interactions• 3 minutes
- Variable Selection• 7 minutes
- Demo: Selecting Variables Using Effect Summary• 2 minutes
- Multicollinearity• 5 minutes
- Demo: Assessing Multicollinearity• 2 minutes
- Closing Thoughts on Multiple Linear Regression• 2 minutes
- What Is Logistic Regression?• 3 minutes
- The Simple Logistic Model• 5 minutes
- Simple Logistic Regression Example• 3 minutes
- Interpreting Logistic Regression Results• 4 minutes
- Demo: Fitting a Simple Logistic Regression Model• 4 minutes
- Multiple Logistic Regression• 5 minutes
- Demo: Fitting a Multiple Logistic Regression Model• 2 minutes
- Logistic Regression with Interactions• 3 minutes
- Demo: Fitting a Logistic Regression Model with Interactions• 2 minutes
- Common Issues• 3 minutes
2 readings• Total 2 minutes
- Read About It• 1 minute
- Summary: Correlation and Regression• 1 minute
30 assignments• Total 195 minutes
- Question 5.01• 2 minutes
- Question 5.02-5.03• 2 minutes
- Practice: Exploring Correlations (Example)• 10 minutes
- Practice: Exploring Correlations (Case Study)• 10 minutes
- Question 5.05• 1 minute
- Practice: Fitting a Simple Linear Regression Model• 10 minutes
- Question 5.06• 1 minute
- Practice: Exploring Least Squares• 10 minutes
- Practice: Visualizing Regression with Anscombe's Quartet• 10 minutes
- Practice: Interpreting Regression Analysis Results• 10 minutes
- Practice: Fitting Polynomial Models• 10 minutes
- Question 5.08• 1 minute
- Practice: Comparing Simple Linear and Multiple Linear Regression Models• 10 minutes
- Question 5.09• 10 minutes
- Practice: Exploring Significant Predictors• 10 minutes
- Question 5.10• 1 minute
- Practice: Identifying Outliers and Influential Observations• 10 minutes
- Question 5.11• 1 minute
- Practice: Fitting a Model with Categorical Predictors• 10 minutes
- Question 5.12• 1 minute
- Practice: Fitting a Model with Interactions• 10 minutes
- Practice: Selecting Variables Using Effect Summary• 10 minutes
- Question 5.14• 1 minute
- Question 5.15• 1 minute
- Practice: Regression Modeling Mini Case Study• 10 minutes
- Question 5.16• 1 minute
- Question 5.17• 2 minutes
- Practice: Fitting a Simple Logistic Model for Reaction Time• 10 minutes
- Practice: Fitting a Multiple Logistic Regression Model• 10 minutes
- Practice: Fitting a Logistic Regression Model with Interactions• 10 minutes
2 app items• Total 80 minutes
- Access the JMP Virtual Lab - New• 60 minutes
- Correlation and Regression Quiz• 20 minutes
5 plugins• Total 5 minutes
- Think About It 5.04• 1 minute
- Think About It 5.07• 1 minute
- Think About It 5.13• 1 minute
- Think About It 5.18• 1 minute
- Think About it 5.19• 1 minute
In this introduction to statistically designed experiments (DOE), you learn the language of DOE, and see how to design, conduct and analyze an experiment in JMP.
What's included
36 videos2 readings25 assignments2 app items4 plugins
36 videos• Total 148 minutes
- Introduction• 1 minute
- A View from Industry• 5 minutes
- What is DOE?• 5 minutes
- Conducting Ad Hoc and One-Factor-at-a-Time (OFAT) Experiments• 6 minutes
- Why Use DOE?• 5 minutes
- Terminology of DOE• 3 minutes
- Types of Experimental Designs• 7 minutes
- Designing Factorial Experiments• 7 minutes
- Demo: Designing Full Factorial Experiments• 5 minutes
- Analyzing a Replicated Full Factorial• 6 minutes
- Analyzing an Unreplicated Full Factorial• 4 minutes
- Demo: Analyzing Full Factorial Experiments• 5 minutes
- Summary of Factorial Experiments• 2 minutes
- Screening for Important Effects• 2 minutes
- A Look at Fractional Factorial Designs• 5 minutes
- Demo: Creating 2^k-r Fractional Factorial Designs• 5 minutes
- Custom Screening Designs• 4 minutes
- Demo: Creating Screening Designs in the Custom Designer• 4 minutes
- Introduction to Response Surface Designs• 2 minutes
- Response Surface Designs for Two Factors• 5 minutes
- Analyzing Response Surface Experiments• 4 minutes
- Demo: Designing a Central Composite Design• 4 minutes
- Creating Custom Response Surface Designs• 3 minutes
- Sequential Experimentation• 5 minutes
- Response Surface Summary• 1 minute
- Introduction to DOE Guidelines• 5 minutes
- Defining the Problem and the Objectives• 4 minutes
- Identifying the Responses• 2 minutes
- Identifying the Factors and Factor Levels• 5 minutes
- Identifying Restrictions and Constraints• 4 minutes
- Preparing to Conduct the Experiment• 2 minutes
- The Anodize Case Study: Part 1• 7 minutes
- The Anodize Case Study: Part 2• 4 minutes
- Summary• 1 minute
- Demo: Optimizing Multiple Responses• 5 minutes
- Demo: Simulating Data Using the Prediction Profiler• 5 minutes
2 readings• Total 2 minutes
- Read About It• 1 minute
- Summary: Design of Experiments (DOE)• 1 minute
25 assignments• Total 96 minutes
- Question 6.01 - 6.02• 1 minute
- Question 6.03• 1 minute
- Question 6.04• 2 minutes
- Question 6.05• 2 minutes
- Question 6.06 - 6.07• 2 minutes
- Question 6.08• 2 minutes
- Question 6.09 - 6.12• 2 minutes
- Practice: Designing a Full Factorial Experiment• 10 minutes
- Question 6.13 - 6.14• 2 minutes
- Question 6.15• 1 minute
- Question 6.16• 1 minute
- Practice: Analyzing a Replicated Full Factorial Experiment• 10 minutes
- Question 6.17• 1 minute
- Question 6.18 - 6.19• 2 minutes
- Practice: Designing a Fractional Factorial Experiment• 10 minutes
- Practice: Analyzing a 20-Run Custom Design• 10 minutes
- Question 6.21- 6.22• 0 minutes
- Question 6.23 - 6.24• 2 minutes
- Practice: Analyzing a Custom Central Composite Design• 10 minutes
- Practice: Optimizing the Heck Reaction• 10 minutes
- Question 6.26• 1 minute
- Question 6.27 - 6.28• 2 minutes
- Question 6.29• 1 minute
- Question 6.30• 1 minute
- Practice: Optimizing Multiple Responses• 10 minutes
2 app items• Total 80 minutes
- Access the JMP Virtual Lab - New• 60 minutes
- Design of Experiments Quiz• 20 minutes
4 plugins• Total 4 minutes
- Think About it 6.20• 1 minute
- Think About it 6.25• 1 minute
- Think About it 6.30• 1 minute
- Think About it 6.31• 1 minute
Learn how to identify possible relationships, build predictive models and derive value from free-form text.
What's included
39 videos2 readings30 assignments2 app items
39 videos• Total 143 minutes
- Introduction• 1 minute
- Introduction to Predictive Modeling• 5 minutes
- Overfitting and Model Validation• 8 minutes
- Demo: Creating a Validation Column• 3 minutes
- Assessing Model Performance: Prediction Models• 6 minutes
- Demo: Fitting a Multiple Linear Regression Model with Validation• 2 minutes
- Assessing Model Performance: Classification Models• 3 minutes
- Receiver-Operating Characteristic (ROC) Curves• 5 minutes
- Demo: Fitting a Logistic Model with Validation• 2 minutes
- Demo: Changing the Cutoff for Classification• 3 minutes
- Introduction to Decision Trees• 1 minute
- Classification Trees• 5 minutes
- Demo: Creating a Classification Tree• 4 minutes
- Regression Trees• 6 minutes
- Demo: Fitting a Regression Tree• 3 minutes
- Decision Trees with Validation• 5 minutes
- Demo: Fitting a Decision Tree with Validation• 3 minutes
- Random (Bootstrap) Forests• 6 minutes
- Demo: Variable Selection with a Bootstrap Forest• 2 minutes
- What is a Neural Network?• 2 minutes
- Interpreting Neural Networks• 3 minutes
- Demo: Fitting a Neural Network• 3 minutes
- Predictive Modeling with Neural Networks• 4 minutes
- Demo: Fitting a Neural Model with Two Layers• 4 minutes
- Introduction to Generalized Regression• 2 minutes
- Fitting Models Using Maximum Likelihood• 4 minutes
- Demo: Fitting a Linear Model in Generalized Regression• 4 minutes
- Demo: Variable Selection in Generalized Regression• 4 minutes
- Introduction to Penalized Regression• 3 minutes
- Demo: Fitting a Penalized Regression (Lasso) Model• 5 minutes
- Comparing Predictive Models• 5 minutes
- Demo: Comparing and Selecting Predictive Models• 4 minutes
- Introduction to Text Mining• 2 minutes
- Processing Text Data• 4 minutes
- Curating the Term List• 3 minutes
- Demo: Processing Unstructured Text Data• 5 minutes
- Visualizing and Exploring Text Data• 3 minutes
- Demo: Visualizing and Exploring Text Data• 5 minutes
- Analyzing (Mining) Text Data• 3 minutes
2 readings• Total 2 minutes
- Read About It• 1 minute
- Summary: Predictive Modeling and Text Mining• 1 minute
30 assignments• Total 168 minutes
- Question 7.01• 1 minute
- Question 7.02• 2 minutes
- Question 7.03• 1 minute
- Practice: Fitting a Multiple Linear Regression Model with Validation• 10 minutes
- Practice: Fitting a Logistic Model with Validation• 10 minutes
- Question 7.04• 1 minute
- Practice: Using a Classification Tree for Problem Solving• 10 minutes
- Practice: Identifying Important Variables• 10 minutes
- Question 7.05• 1 minute
- Question 7.06• 1 minute
- Practice: Using a Regression Tree with Validation• 10 minutes
- Practice: Using a Classification Tree with Validation• 10 minutes
- Question 7.07• 1 minute
- Practice: Using Trees to Identify Important Variables• 10 minutes
- Question 7.08• 1 minute
- Practice: Fitting a Simple Neural Network• 10 minutes
- Practice: Fitting a Neural Network for Prediction• 10 minutes
- Practice: Fitting a Neural Network for Classification• 10 minutes
- Question 7.09• 1 minute
- Question 7.10• 1 minute
- Question 7.11 - 7.12• 2 minutes
- Practice: Reducing a Model Using Generalized Regression• 10 minutes
- Practice: Fitting a Regression Model using the Lasso• 10 minutes
- Question 7.13• 1 minute
- Practice: Comparing and Selecting Predictive Models• 10 minutes
- Question 7.14• 1 minute
- Question 7.15• 2 minutes
- Question 7.16• 1 minute
- Practice: Developing a Term List• 10 minutes
- Practice: Exploring Terms and Phrases in STIPS• 10 minutes
2 app items• Total 80 minutes
- Access the JMP Virtual Lab - New• 60 minutes
- Predictive Modeling and Text Mining Quiz• 20 minutes
In this module you have an opportunity to test your understanding of what you have learned.
What's included
2 assignments1 app item
2 assignments• Total 60 minutes
- Review Questions• 30 minutes
- Case Studies• 30 minutes
1 app item• Total 60 minutes
- Access the JMP Virtual Lab - New• 60 minutes
Instructor
Instructor ratings
4.8 (38 ratings)Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Offered by
Offered by
SAS
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
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4.8
99 reviews
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H
HV
5·
Reviewed on Jun 16, 2022
great start for data analysis. General understanding, visualization.
R
RS
5·
Reviewed on Sep 2, 2020
It is a really exhilarating course testing your practical and theoretical understanding about the subject covering most fields in the topic of data analytics along with jmp, a user-friendly platform.
J
JR
5·
Reviewed on Apr 28, 2024
The virtual lab environment is a great way to get hands on experience.
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