JMP Training for Statistics & Data Visualization

Learn Statistics, Analytics and Data Visualization with JMP 15 to solve problems, reveal opportunities and inform decisions. Create opportunities for you or key decision-makers to discover data patterns such as customer purchase behavior, sales trends, quality defects, or production bottlenecks.What You'll Learn:Here is a summary of topics covered in this course:Hypothesis TestingNormal DistributionsShapiro Wilk TestZ Test & T Test2 Sample T TestANOVAOne Way ANOVAT Test & Tukey TestData VisualizationDescriptive StatisticsQuality Control Charts (Pareto, X Bar & R, & IMR)DistributionsLinear RegressionFit Y by X(Pearsons) Correlation CoefficientData Clean UpPublish sharable Analysis & DashboardsSection 2: Data Types, Column, Data Clean UpImport data from a variety of sources: Excel, Google Sheets, CSV, etc. Learn how to format specific columns and how to clean data before creating graphs / distributions / analysis.Section 3: JMP Visuals & GraphingLearn how to create individual value plots (scatter plots), bar charts, pie charts, parallel plots, heat maps, and more.Section 4: Descriptive Statistics & Quality Control ChartsLearn and create tables of descriptive statistics on JMP. Create control charts such as Pareto Charts, X Bar & R Charts and IMR Charts.Section 5: Distributions OverviewLearn about Box Plots and Histograms in detail. Then learn how to create distributions and what analysis you can take from it.Section 6: Publish Dashboards Post your finished