Resource Center
Learn how scientists, engineers and other data explorers are changing the world with JMP
Design of Experiments
- Analyzing Curve Data with JMPIn this webinar, you’ll learn how tools in JMP will help you better understand the variation in the shape of curves and how to use curves in Design of Experiments and modeling to better understand how input variables effect the shape of curves.
- Getting Started with Design of Experiments (DoE)This series of three one-hour workshops provides the necessary know-how and resources you will need to get started with DOE, including inspirational examples of the use of DoE in the many aspects of bringing products to the market.
- Smarter Innovation with Design of ExperimentsIn this series we’ll learn how to effectively implement (or expand) the use of design of experiments at your organization.
- A New Tool Makes Experiment Planning EasyIn this presentation, you'll learn about exciting new tools in JMP that makes experiment planning easy for both beginners and experienced users.
- Synergies of Designed Data Collection and Big DataIn this Statistically Speaking, Christine Anderson-Cook while she discusses Big Data and Designed Data Collection and the synergy between the two.
Statistics, Predictive Modeling and Data Mining
- Make better data based decisions with Statistical Modelling TechniquesThis three-part workshop on statistical modelling techniques is geared towards scientists and engineers who are looking to make the most of their data and gain valuable insights as quickly as possible.
- Universidade de Trás-os-Montes e Alto DouroA forest scientist discusses silvicultural simulations and the joy of modeling.
- The Rise of Epidemic Forecasting & Multi-View AnalysisFather-son duo Dr. Robert Tibshirani and Dr. Ryan Tibshirani discuss why epidemic forecasting and multi-view analysis matters.
- How to ensure your investment in Machine Learning yields beneficial outcomesIn this talk, Jonathan Williams, PhD, Data Analysis Manager at IQE, shares guidance and stories about how to get started with machine learning techniques or effectively integrate them within existing programs.
Data Visualization and Exploratory Data Analysis
- Data Visualization and Model BuildingIn this paper, Richard De Veaux, Williams College, explains how visualization and data exploration can be used to draw conclusions about sports performance as we age.
- Using Data Visualization for Better Decision MakingExplore different kind of graphs to visualize your data and communicate your findings effectively with colleagues and stakeholders
- Beyond Spreadsheets Part 1: Breaking Away from SpreadsheetsThis multi-part, on-demand webinar series is designed to move your analytics processes out of the average spreadsheet and into the quick, dynamic analysis and visualization tools in JMP!
- Fujifilm: Making better data-driven decisions in Science and EngineeringLilian Monahan from Fujifilm will share how exploratory data analysis enables continuous improvement of processes and allows non-data scientists to better understand and communicate their findings, while also getting a clear visualization.
Consumer and Market Research
- Conjoint AnalysisThis article explains how a local grocer seeks to increase beer revenue by better understanding customer preference, pricing strategy and packaging with conjoint analysis.
- Survey Data Analysis: The FundamentalsNew case study demonstrates best practices for survey analysis in JMP (including tips for dealing with missing data).
- Using JMP® Pro for Enhanced Marketing Analytics and Consumer ResearchSee how to enrich predictive models by including latent free-form text information buried in reports, survey results or other documents. Learn how to use JMP Pro to identify and analyze items or events (such as product selections, risk factors or health conditions) that occur together.
- Deriving Sentiments from Opinions or Product ChoicesSee how to combine text analysis with predictive modeling to derive sentiments from opinions or product choices to help understand the underlying emotions related to survey responses.