Advanced

Case Study: JMP061* Quantifying Sentiment in Economic ReportsApply Sentiment analysis to quantify the emotion in unstructured text.
Case Study: JMP060* Nonlinear Regression Modeling for Cell Growth OptimizationApply nonlinear models to understand the impact of factors on a cell growth.
Case Study: JMP059* Functional Data Analysis for HPLC OptimizationApply functional data analysis and functional design of experiments (FDOE) for the optimization of an analytical method to allow for the accurate quantification of two biological components.
Case Study: JMP058* Modeling Online Shopping PerceptionsApply measurement and structural models to survey responses from online shoppers to build and evaluate competing models.
Case Study: JMP057 Exploratory Factor Analysis of Trust in Online SellersApply exploratory factor analysis to uncover latent factor structure in an online shopping questionnaire.
Case Study: JMP056* Where Have All the Butterflies Gone?Apply time series forecasting and Generalized linear mixed model (GLMM) to evaluate butterfly populations being impacted by climate and land-use changes.
Case Study: JMP055 Increasing Bioavailability of a Drug using SMEDDSUse Mixture/formulation design to optimize multiple responses related to bioavailability of a drug.
Case Study: JMP054 Forecasting Copper PricesLearn various exponential smoothing techniques to build various forecasting models and compare them.
Case Study: JMP053 Cluster Analysis in the Public SectorUse PCA and Clustering techniques to segment the demographic data.
Case Study: JMP052 Optimization of Microbial Cultivation ProcessUse Design of Experiments (DOE) to optimize the microbial cultivation process.
Case Study: JMP051* Polymerization at Lohmann - Part 2Use Functional Data Analysis to understand the intrinsic structure of the data.
Case Study: JMP050 Polymerization at Lohmann - Part 1 Application of statistical methods to understand the process and enhance its performance through Design of Experiments and regression techniques.
Case Study: JMP049 Manufacturing Excellence at Pharma Company - Part 3Use Design of Experiments (DOE) to advance knowledge about the process.
Case Study: JMP048 Manufacturing Excellence at Pharma Company - Part 2Use Measurement Systems Analysis (MSA) to assess the precision, consistency and bias of a measurement system.
Case Study: JMP047 Manufacturing Excellence at Pharma Company - Part 1Use control charts to understand process stability and analyze the patterns of process variation.
Case Study: JMP045 Modeling Gold PricesLearn univariate time series modeling using US Gold Prices. Build AR, MA, ARMA and ARMA models to analyze the characteristics of the time series data and forecast.
Case Study: JMP044 Pricing SpectaclesDesign and analyze discrete choice experiments (also called conjoint analysis) to discover which product or service attributes are preferred by potential customers.
Case Study: JMP043 Pricing Musical InstrumentStudy the application of regression and concepts related to choice modeling (also called conjoint analysis) to understand and analyze the importance of the product attributes and their levels influencing the preferences.
Case Study: JMP042 US Stock IndicesUnderstand the basic concepts related to time series data analysis and explore the ways to practically understand the risks and rate of return related to the financial indices data.
Case Study: JMP041* Text Exploration of PatentsThis study requires the use of unstructured data analysis to understand and analyze the text related to patents filed by different companies.
Case Study: JMP040 Manufacturing Systems VariationStudy the use of Nested Variability chart to understand and analyze the different components of variances. Also explore the ways to minimize the variability by applying various rules of operation related to variance.
Case Study: JMP035 Durability of Mobile Phone Screen - Part 4Evaluate the durability of mobile phone screens in a drop test across various heights by building a single multiple logistic regression model. Use the model to estimate the probability of a screen being damaged across any drop height.
Case Study: JMP031* Boston HousingBuild a variety of prediction models (multiple regression, partition tree, and a neural network) to determine the one that performs the best at predicting house prices based upon various characteristics of the house and its location.
Case Study: JMP030 Customer ChurnAnalyze the factors related to customer churn of a mobile phone service provider. The company would like to build a model to predict which customers are most likely to move their service to a competitor. This knowledge will be used to identify customers for targeted interventions, with the ultimate goal of reducing churn.
Case Study: JMP029 Call Center ImprovementThe scenario relates to the handling of customer queries via an IT call center. The call center performance is well below best in class. Identify potential process changes to allow the call center to achieve best in class performance.
Case Study: JMP028* Credit Card MarketingA bank would like to understand the demographics and other characteristics associated with whether a customer accepts a credit card offer. Build a Classification model that will provide insight into why some bank customers accept credit card offers.
Case Study: JMP027 Titanic PassengersUse the passenger data related to the sinking of the RMS Titanic ship to explore some questions of interest about survival rates for the Titanic. For example, were there some key characteristics of the survivors? Were some passenger groups more likely to survive than others? Can we accurately predict survival?
Case Study: JMP026 Lost SalesDetermine whether certain conditions make it more likely that a customer order will be won or lost.
Case Study: JMP025 Bank RevenueA bank wants to understand how customer banking habits contribute to revenues and profitability. Build a model that allows the bank to predict profitability for a given customer. The resulting model will be used to forecast bank revenues and guide the bank in future marketing campaigns.
Case Study: JMP024 Housing PricesAfter determining which factors relate to the selling prices of homes located in and around a ski resort, develop a model to predict housing prices.
Case Study: JMP023 Cell Phone ServiceDetermine whether wind speed and barometric pressure are related to phone call performance (percentage of dropped or failed calls) and use the resulting model to predict the percentage of bad calls based upon the weather conditions.
Case Study: JMP022 ArchosaurAnalyze data on the brain and body weight of different dinosaur species to determine if a proposed statistical model performs well at describing the relationship and use the model to predict brain weight based on body weight.

* This case study requires JMP Pro or JMP Student Edition.