JMP Lehrmaterial und e-Learning Kurse

Das SAS Global Academic Program stellt JMP Kursmaterialien zur Verfügung für alle qualifizierten Professoren, welche Studenten zu ihren Abschlüssen verhelfen. Die Lehrmaterialien sind eine elektronische Ausgabe der Inhalte, welche auch in JMP Kursen von SAS Education eingesetzt werden. Hierzu gehören kapitelweise Anleitungen zum Einsatz in der Lehre, alle  PowerPoint Slides, Datensätze und praktische Übungen.

Lehrende können sowohl das gesamte Material oder auch nur Auszüge nutzen, oder auch das Material an die Bedürfnisse ihrer Kurse anpassen. Unten sehen Sie die Inhalte zu jedem verfügbaren Kurs.

Anmerkung: Ausgewählte e-Learning Kurse sind ebanfalls frei verfügbar für alle Lehrkörper und Studenten, die zur Nutzung einer Standortlizenz berechtigt sind.

JMP Software: Data Exploration

• Introduction

  Introducing JMP features, exploring user-assistance options, accessing data and opening different types of files in JMP, understanding modeling types, introducing the Table panel, Columns panel, and Rows panel, creating a JMP journal

• Data Exploration and Manipulation

  Using the Columns and Rows menus, creating new columns, creating new tables, using the Tabulate option to create summary tables

• Graphical Data Exploration

  Exploring relationships between continuous columns, using the Graph Builder, mapping with the Graph Builder, exploring relationships between categorical data columns, using recursive partitioning for exploratory analysis

• Reporting and Presenting Results

  Modifying a journal, using a journal for presentations, saving and sharing results

Note: This is the classic course, based on JMP 11. As of JMP 12 a case-study based version of this data exploration course is available.

JMP Software: A Case Study Approach to Data Exploration

• Introduction

  Creating a data table in JMP, setting modeling types, exploring data with the Graph Builder, using the Map function in Graph Builder

• Banking Case Study

  Importing data from Excel, creating formulas, graphing data to answer questions, generating and presenting the results

• Pharmaceutical Case Study

  Using graphs to identify potential data problems, graphing data to answer questions, using the Column Switcher to animate graphs, create new tables with Stack and Join

• Manufacturing Case Study

  Identify questions to ask of data, create new tables to answer questions, save output to a journal

JMP Software: ANOVA and Regression

• Introduction to Statistics

  Reviewing populations and samples, exploring data with descriptive statistics and graphs, generating and understanding confidence intervals, understanding statistical hypothesis tests

• Comparing Means

  Analyzing a one-sample t-test, analyzing paired data, comparing two independent groups using a t-test

• Analysis of Variance

  Fitting one-way ANOVA models, fitting one-way ANOVA models with multiple levels, performing multiple comparisons, examining ANOVA assumptions, fitting N-way ANOVA models, analyzing power and sample size

• Simple Linear Regression

  Using scatterplots and correlation statistics, performing simple linear regression, fitting polynomial regression models

• Multiple Regression

  Performing multiple regression, performing multiple regression with interactions, performing stepwise regression

• Regression Diagnostics

  Examining model assumptions, discovering multivariate outliers, investigating collinearity

• Analysis of Covariance

  Fitting ANCOVA models with and without interactions

JMP Software: Introduction to Categorical Data Analysis

• Associations

  Recognizing the difference between continuous and categorical data, examining associations among variables, conducting hypothesis tests of association, interpreting a correspondence plot, performing recursive partitioning

• Logistic Regression

  Introducing likelihood and maximum likelihood estimation, introducing logit transformation, performing logistic regression including odds ratio analysis, fitting ordinal logistic regression models, fitting nominal logistic regression models

• Generalized Linear Models

  Introducing generalized linear models, using a GLM for a binary response, using a GLM for counts

• Categorical Platform (Self-Study)

  Special cases handled by Categorical platform, using Categorical for survey data

JMP Software: Analyzing Multidimensional Data

• Introduction to Multivariate Data

  Examples of multidimensional data, review of matrix algebra

• Principal Components Analysis: Dimension Reduction

  Interpretation of principal components, finding principal components

• Factor Analysis: Finding Latent Factors

  Factor extraction, factor rotation

• Cluster Analysis: Grouping Data

  Introduction to cluster analysis, hierarchical clustering, k-means clustering

JMP Software: Modeling Multidimensional Data

• Introduction to Multivariate Data

  Examples of supervised learning, review of matrix algebra

• Discriminant Analysis

  Geometry of discrimination, linear and quadratic discrimination, variable selection, validation, classification

• Principal Components Regression

  Review of principal components, principal component regression, variable selection

• Partial Least Squares Regression

  PLS algorithms, PLS regression

JMP Software: Predictive Modeling Using JMP Pro

• Introduction to Predictive Modeling

  Supervised classification, regression, honest assessment using holdout data, assessment plots and statistics

• Classification and Regression Trees Using the Partition Platform

  Optimizing model complexity, interpreting models, model fit statistics, statistical graphics, boosted trees, random forest

• Predictive Modeling with Neural Networks

  Optimizing model complexity, interpreting models, model fit statistics, statistical graphics, boosted neural networks

• Model Implementation

  Scoring new data

JMP Software: Classic Design of Experiments

• Introduction to Design and Analysis of Experiments

  Review of basic statistical concepts, introduction to experimental design, completely randomized designs

• Multiple Factor Designs and Blocking

  Randomized complete block designs, randomized incomplete block designs, full factorial designs, 2k factorial designs, split-plot designs

• Screening Designs 

  Fractional factorial designs, blocking with screening designs

• Response Surface Methodology

  Concepts and terms, classic response surface designs for second-order models, steepest ascent method

• Custom Designs

  Custom design generation, custom response surface designs

JMP Software: Custom Design of Experiments

• Introduction

  Characteristics and benefits of custom design, introduction to custom design interface and training simulators

• Experiments without Factors

  Information in binary or continuous response, location and spread statistics

• Experiments with One Factor 

  Categorical and continuous factors, sample size and balanced testing, test point spacing and replication, model verification and design augmentation, standard errors of parameter estimates and prediction variance, optimality criteria

• Experiments with Two Factors

  More information without adding resources, blocked runs for homogeneous response, the interaction effect, response surface models, grouped runs and restricted randomization (split-plot design)

• Multi-Factor Case Studies

  Optimal factor settings for multiple responses, team activity: independently solve design and analysis problems, simulation of live test results

JMP Software: Modern Screening Designs

• Need for Screening

  Learning the important principles in screening such as: the impact that choice of design has on the variance of estimates and bias in model prediction, inflation of variance in parameter estimates due to correlation, and estimation efficiency as measured by the estimate's confidence interval size

• Planning Experiments

  With classic screening solutions including fractional factorial and Plackett-Burman designs

• Combinatorial Screening Designs

  Planning experiments with orthogonal or near-orthogonal arrays, planning experiments with definitive screening designs, planning experiments with custom designs, like Bayesian D-optimal designs and split-plot structures for restricted randomization

• Model Selection in Screening

  Identifying active factors using the effect screening tools in the Fit Least Squares platform, selecting models with the Screening platform, selecting models with forward step-wise regression, selecting models with all-subsets with heredity restrictions

JMP Software: Design and Analysis of Mixture Experiments

• Introduction to Mixture Designs

  Review of experimental design principles, using factorial-type designs for mixture scenarios

• Basic Mixture Designs

  Simplex-lattice design, simplex-centroid design, ABCD design

• Analysis of Mixture Designs

  Linear Scheffe model, quadratic Scheffe model, cubic Scheffe model, Cox model

• Advanced Mixture Designs

  Constrained mixture designs, analysis of constrained mixture designs, combined mixture-process designs

JMP Software: Measurement Systems Analysis

• Introduction

  Introduction to measurement systems, discrimination, bias and variability of a measurement system, evaluation of the measurement process (EMP) and gauge repeatability and reproducibility (R&R) methodologies

• Variability – EMP

  Graphical and statistical analysis for estimation of repeatability, graphical and statistical analysis for estimation of reproducibility, evaluating the impact of measurement system variability on the process, gauge study models

• Variability - Gauge R&R

  Graphical and statistical analysis for more complex models, gauge study design

• Bias

  Evaluating bias and linearity of a measurement system

• Attribute Gauge Studies

  Graphical analysis, rater agreement

JMP Software: Statistical Process Control

• Introduction to Statistical Quality Control 

  Reviewing basic statistical concepts, exploring concepts in statistical quality control, identifying control charts for variable and attribute data

• Control Charts for Variable Data 

  Understanding variable data, constructing and interpreting mean, range, and standard deviation charts, saving and retrieving control limits, generating and interpreting Operating Characteristic curves, constructing and interpreting Individual and Moving Range charts, constructing and interpreting three-way control charts for batch processing situations

• Control Charts for Attribute Data

  Understanding attribute data, reviewing the binomial distribution, generating and interpreting P and NP charts, reviewing the Poisson distribution, generating and interpreting C and U charts

• Pareto Charts

  Generating and interpreting Pareto charts

• Process Capability

  Understanding process capability analysis, comparing control limits to specification limits, calculating and interpreting capability indices

• Ishikawa diagrams 

  Performing and interpreting Ishikawa diagrams (also known as Fishbone or Cause-and-Effect diagrams), performing and interpreting related nested-relationship diagrams

JMP Software: Reliability Analysis for Non-Repairable Systems

• Introduction to Reliability

  Understanding principles of reliability, measures of reliability, and the nature of life data and censored observations, using nonparametric estimation of failure probabilities, applying parametric models of failure reliability and hazard, accounting for uncertainty about reliability estimates

• Reliability with Factors

  Identifying failure modes and competing causes, describing deficient data, including the effect of covariates in the reliability model

• Rapid Reliability

  Understanding stress factors and accelerated failures, computing acceleration factors, using acceleration relationships, designing accelerated life tests, performing degradation analysis for repeated measures and destructive tests

JMP Software: Introduction to the JMP Scripting Language

• Scripting Concepts

  Introducing scripting, introducing object-oriented approach, reviewing how to generate scripts interactively, storing scripts in the Table panel

• JSL Building Blocks

  Understanding operators, numbers, and names, understanding lists and expressions, understanding comments, commas, parentheses, quoted strings, and matrices, introducing a visual JSL style to make reading, interpreting, and understanding JSL easy

• Functions

  Using the For, While, Break, and Continue functions, using the If, Match, and Choose functions

• Data Table Scripts

  Creating new tables and columns, changing or adding column properties, using basic matrix functions in JSL

• Platform Scripts

  Understanding platform layers (analysis and report), reporting display tree structure, building custom windows

• Dialogs, List, and Custom Menu Items

  Making and using custom dialogs, understanding substitution in expressions, lists, and strings, adding a custom menu item

JMP Software: Designing and Building a Complete JMP Script

• Script Design 

  Workflow for designing and building a script, introduction to case study for complete script, identification of the data for the script

• Data Import Design

  Importing flat files, importing data stored in a relational database

• Data Preparation

  Formatting and shaping data, cleansing data, processing text

• Building Analytics, Reports, and Visualizations

  Build the framework, build the expressions, review complete script

• Best Practices

  Review practices the improve script quality while reducing effort and mistakes

JMP Software: Application Development Using the JMP Scripting Language

• Introduction

  Introduction to JMP applications, motivating scenario for the course

• Instant Applications

  Developing applications interactively, generalizing applications

• Custom Applications

  JSL essentials, single module applications, multiple module applications

• Application Deployment

  Deploying applications

JMP Clinical:  Monitoring Clinical Trials

• Introduction

  Overview of JMP Clinical, getting started with JMP Clinical

• Creating and Using a Study Review

  Using the Review Builder, viewing results