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所在平台: Udemy |
课程主页: https://www.udemy.com/course/jmp-2020-hands-on-jmp-training-for-statistics/
课程评论：没有评论
课程名称：JMP统计与数据可视化培训 课程概述：本课程旨在教授如何使用JMP 15进行统计分析、数据分析和数据可视化，以解决问题、揭示机会和支持决策。学员将能够识别和理解数据模式，如客户购买行为、销售趋势、质量缺陷或生产瓶颈。 课程内容：课程涵盖的主题包括： 1. **假设检验**：了解假设检验的基础知识，学习Shapiro Wilk检验、Z检验和T检验（包括两样本T检验）。 2. **正态分布**：掌握正态分布的特性和应用。 3. **方差分析（ANOVA）**：学习单因素ANOVA及其应用，并扩展到ANOVA T检验和Tukey检验。 4. **数据可视化**：学习如何创建散点图、条形图、饼图、平行图和热图等多种可视化图表。 5. **描述性统计**：利用JMP创建描述性统计表，并制作管控图（例如帕累托图、X Bar & R图和IMR图）。 6. **数据类型与清理**：从Excel、Google Sheets、CSV等多种来源导入数据，并掌握数据格式化和清理的方法。 7. **线性回归分析（Fit Y by X）**：学习线性回归的概念，分析自变量和因变量，并使用相关系数分析大数据的未来趋势。 8. **发布仪表板**：将完成的分析以仪表板形式发布到网络上，与他人分享，保存和自动化报告以适应变化的数据。 课程要求：对学习的积极态度，有意愿使用JMP 15软件进行实践。可以从JMP官方网站下载30天的试用版本。 适合人群：本课程适合以下人员： - 完全没有JMP基础的学习者 - 有一定JMP技能但希望提高的人 - 已经熟练使用JMP，想要深入发挥其潜力的人 通过本课程，您将全面掌握JMP的使用，提升您的统计和数据可视化技能，为决策提供数据支持。
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 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: ANOVADive 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 learnA 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 scratchYou should take this course if you know some JMP skills but want to get betterYou 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
