JMP Training for Statistics & Data Visualization

JMP Training for Statistics & Data Visualization

Learn Statistics, Analytics & Data Visualization with JMP Statistical Software

https://www.udemy.com/course/jmp-2020-hands-on-jmp-training-for-statistics/

上次更新 8/2020

英语

英语 [自动]

你将会学到的

Statistics

JMP Software

Data Visualization

Data Analytics

Hypothesis Testing

Analysis of Variance

Linear Regression

Distributions

Control Charts

Heat Maps

Descriptive Statistics

Inferential Statistics

Pareto Charts

Lean Six Sigma

要求

Basic knowledge of computers

说明

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 Testing



Normal Distributions



Shapiro Wilk Test



Z Test & T Test



2 Sample T Test



ANOVA



One Way ANOVA



T Test & Tukey Test



Data Visualization



Descriptive Statistics



Quality Control Charts (Pareto, X Bar & R, & IMR)



Distributions



Linear Regression



Fit Y by X



(Pearsons) Correlation Coefficient



Data Clean Up



Publish sharable Analysis & Dashboards



Section 2: Data Types, Column, Data Clean Up

Import 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 & Graphing

Learn how to create individual value plots (scatter plots), bar charts, pie charts, parallel plots, heat maps, and more.



Section 4: Descriptive Statistics & Quality Control Charts

Learn 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 Overview

Learn 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 analysis to the web in dashboard form to share with others. Save and automate reports for changing data.



Section 7: Linear Regression (Fit Y by X):

Learn about linear regression and dependent and independent variables. Learn how correlation coefficient can help you analyze future trends of big data. Create your own fitted lines on JMP using Fit Y by X tool.



Section 8: Hypothesis Testing:

Learn an introduction to hypothesis testing and what it means. Learn the assumptions for hypothesis testing. Understand confidence intervals and significance (alphas). Learn how to test to see if your data comes from a normally distributed population using the Shapiro Wilk Test. Learn Z Test and T Test through visual explanation and through JMP. Learn 2 Sample T Test.



Section 9: ANOVA

Dive into analysis of variance (ANOVA) and understand the basics. Learn how to perform a one way ANOVA test on multiple examples. Expand your knowledge through learning how to perform ANOVA T Tests & Tukey tests.







Are there any course requirements or prerequisites?



Willingness to learn



A part of this course on the use of JMP 15. You will need to have the software to practice. Please note that you can download 30 days trial version of this software from JMP's website.



Who this course is for:



You should take this course if want to learn JMP completely from scratch



You should take this course if you know some JMP skills but want to get better



You should take this course if you are good with JMP and want to take your skills to the next level and truly leverage the full potential of JMP



此课程面向哪些人：

Beginner users interested in statistics software

JMP Users

Staticians

Engineers

Scientists

Data users