Statistical Thinking for Industrial Problem Solving is an applied statistics course for scientists and engineers offered by JMP, a division of SAS. By completing this course, students will understand the importance of statistical thinking, and will be able to use data and basic statistical methods to solve many real-world problems. Students completing this course will be able to:
Statistical Thinking for Industrial Problem Solving, presented by JMP
SASこのコースについて
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修了時に証明書を取得
100%オンライン
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柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
No prior knowledge of statistics or experience with JMP software is required.
約44時間で修了
英語
字幕：フランス語, ポルトガル語（ヨーロッパ）, ロシア語, 英語, スペイン語
学習内容
How to describe data with statistical summaries, and how to explore your data using advanced visualizations.
Understand statistical intervals, hypothesis tests and how to calculate sample size.
How to fit, evaluate and interpret linear and logistic regression models.
How to build predictive models and conduct a statistically designed experiment.
習得するスキル
Experimental DesignData AnalysisData Visualization (DataViz)Statistical Hypothesis TestingStatistics
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
初級レベル
No prior knowledge of statistics or experience with JMP software is required.
約44時間で修了
英語
字幕：フランス語, ポルトガル語（ヨーロッパ）, ロシア語, 英語, スペイン語
提供：
SAS
Through innovative software and services, SAS empowers and inspires customers around the world to transform data into intelligence. SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.
シラバス - 本コースの学習内容
19分で修了
Course Overview
In this module you learn about the course and about accessing JMP software in this course.
19分で修了
3件のビデオ （合計13分）, 4 学習用教材, 1 個のテスト
3件のビデオ
Why You Need a Foundation in Statistical Thinking4 分
First Time Using JMP? View the JMP Quickstart Video6 分
4件の学習用教材
Learner Prerequisites1 分
Taking this Course2 分
Using Forums and Getting Help1 分
Using the JMP Virtual Lab1 分
2時間で修了
Module 1: Statistical Thinking and Problem Solving
Statistical thinking is about understanding, controlling and reducing process variation. Learn about process maps, problem-solving tools for defining and scoping your project, and understanding the data you need to solve your problem.
2時間で修了
26件のビデオ （合計72分）, 3 学習用教材, 17 個のテスト
26件のビデオ
What Is Statistical Thinking?4 分
Overview of Problem Solving2 分
Statistical Problem Solving1 分
Types of Problems2 分
Defining the Problem3 分
Goals and Key Performance Indicators3 分
The White Polymer Case Study2 分
What Is a Process?3 分
Developing a SIPOC Map1 分
Developing an Input/Output Process Map4 分
Top-Down and Deployment Flowcharts2 分
Summary2 分
Tools for Identifying Potential Causes2 分
Brainstorming4 分
Multi-voting2 分
Using Affinity Diagrams2 分
Cause-and-Effect Diagrams4 分
The 5 Whys1 分
Cause-and-Effect Matrices1 分
Summary1 分
Data Collection for Problem Solving2 分
Types of Data2 分
Operational Definitions4 分
Data Collection Strategies4 分
Importing Data for Analysis1 分
3件の学習用教材
Activity: Developing a Cause-and-Effect Diagram10 分
Read About It5 分
Summary: Statistical Thinking and Problem Solving 1 分
16の練習問題
Question 1.011 分
Question 1.031 分
Question 1.041 分
Question 1.061 分
Question 1.071 分
Question 1.081 分
Question 1.091 分
Question 1.101 分
Question 1.121 分
Question 1.131 分
Question 1.151 分
Question 1.161 分
Questions 1.18 - 1.192 分
Question 1.201 分
Question 1.211 分
Questions 1.23-1.253 分
6時間で修了
Module 2A: Exploratory Data Analysis, Part 1
Learn the basics of how to describe data with basic graphics and statistical summaries, and how to explore your data using more advanced visualizations. You’ll also learn some core concepts in probability, which form the foundation of many methods you learn throughout this course.
6時間で修了
50件のビデオ （合計184分）
50件のビデオ
Introduction to Descriptive Statistics1 分
Types of Data5 分
Histograms4 分
Demo: Creating Histograms in JMP4 分
Demo: Saving Your Work Using Scripts1 分
The Chemical Manufacturing Case Study38
The White Polymer Case Study1 分
Measures of Central Tendency and Location6 分
Demo: Summarizing Continuous Data with the Distribution Platform4 分
Demo: Summarizing Continuous Data with Column Viewer and Tabulate4 分
Measures of Spread: Range and Interquartile Range5 分
Demo: Hiding and Excluding Data2 分
Measures of Spread: Variance and Standard Deviation4 分
Visualizing Continuous Data7 分
Demo: Creating Tabular Summaries with Tabulate2 分
Demo: Creating Scatterplots and Scatterplot Matrices3 分
Demo: Creating Comparative Box Plots with Graph Builder2 分
Demo: Creating Run Charts (Line Graphs) with Graph Builder2 分
Describing Categorical Data5 分
Creating Tabular Summaries for Categorical Data3 分
Demo: Creating Bar Charts and Mosaic Plots4 分
Review and Introduction to Probability Concepts2 分
Samples and Populations4 分
Understanding the Normal Distribution3 分
Checking for Normality6 分
Demo: Checking for Normality2 分
Demo: Finding the Area Under a Curve2 分
The Central Limit Theorem4 分
Demo: Exploring the Central Limit Theorem3 分
Introduction to Exploratory Data Analysis3 分
Exploring Continuous Data: Enhanced Tools6 分
Demo: Adding Markers, Colors, and Row Legends3 分
Demo: Switching Columns in an Analysis2 分
Pareto Plots6 分
Demo: Creating Sorted Bar Charts and Pareto Plots3 分
Packed Bar Charts and Data Filtering3 分
Demo: Creating Packed Bar Charts2 分
Demo: Using the Local Data Filter3 分
Tree Maps and Mosaic Plots4 分
Demo: Creating a Tree Map2 分
Using Trellis Plots and Overlay Variables5 分
Demo: Creating Trellis Plots and Using Overlay Variables3 分
Bubble Plots and Heat Maps2 分
Demo: Creating Bubble Plots3 分
Demo: Creating Heat Maps3 分
Visualizing Geographic and Spatial Data6 分
Demo: Creating a Geographic Map Using Shape Files2 分
Demo: Creating Maps Using Coordinates3 分
Summary of Exploratory Data Analysis Tools2 分
31の練習問題
Question 2.012 分
Question 2.022 分
Practice: Understanding Yield for a Chemical Manufacturing Process10 分
Practice: Exploring the Relationship Between Variables10 分
Question 2.03 - 2.041 分
Practice: Summarizing Continuous Data with the Distribution Platform10 分
Question 2.06 - 2.072 分
Practice: Understanding Box Plots10 分
Question 2.082 分
Question 2.092 分
Practice: Visualizing Continuous Data10 分
Question 2.10 - 2.112 分
Practice: Visualizing Categorical Data10 分
Question 2.131 分
Question 2.151 分
Practice: Checking for Normality10 分
Practice: Recognizing Shapes in Normal Quantile Plots10 分
Practice: Exploring the Central Limit Theorem10 分
Question 2.161 分
Practice: Exploring Many Variables Using the Column Switcher10 分
Question 2.17 - 2.182 分
Practice: Creating Sorted Bar Charts in JMP10 分
Question 2.191 分
Practice: Exploring Data with a Local Data Filter10 分
Question 2.201 分
Practice: Exploring Data with a Tree Map and Mosaic Plot10 分
Practice: Exploring Data Using Trellis Plots10 分
Question 2.211 分
Practice: Exploring Data Using Bubble Plots and Heat Maps10 分
Question 2.221 分
Practice: Exploring Data with a Geographic Map10 分
6時間で修了
Module 2B: Exploratory Data Analysis, Part 2
Learn how to use interactive visualizations to effectively communicate the story in your data. You'll also learn how to save and share your results, and how to prepare your data for analysis.
6時間で修了
36件のビデオ （合計114分）, 2 学習用教材, 33 個のテスト
36件のビデオ
Creating Effective Visualizations1 分
Evaluating the Effectiveness of a Visualization4 分
Designing an Effective Visualization: Part 13 分
Designing an Effective Visualization: Part 25 分
Communicating Visually with Animation2 分
Designing for Your Audience3 分
Understanding Your Target Audience5 分
Designing Visualizations for Communication52
Designing Visualizations: The Do's5 分
Designing Visualizations: The Don'ts2 分
Demo: Customizing Graphics3 分
Introduction to Saving and Sharing Results2 分
Saving and Sharing Results in JMP3 分
Saving and Sharing Results outside of JMP3 分
Deciding Which Format to Use1 分
Demo: Organizing Your Saved Scripts2 分
Demo: Combining JMP Scripts for Analyses3 分
Demo: Sharing Static Output2 分
Demo: Saving Your Work in a JMP Journal4 分
Data Tables Essentials2 分
Common Data Quality Issues5 分
Identifying Issues in the Data Table4 分
Identifying Issues One Variable at a Time3 分
Summarizing What You Have Learned3 分
Demo: Exploring Missing Values3 分
Demo: Using Recode3 分
Restructuring Data for Analysis2 分
Demo: Stacking and Splitting Data2 分
Combining Data2 分
Demo: Concatenating Data Tables1 分
Demo: Joining Data Tables2 分
Deriving New Variables2 分
Demo: Binning Data Using Conditional IF-THEN Statements3 分
Demo: Transforming Data2 分
Working with Dates1 分
2件の学習用教材
Read About It2 分
Summary - Exploratory Data Analysis1 分
31の練習問題
Question 2.241 分
Question 2.251 分
Question 2.262 分
Question 2.28 - 2.292 分
Practice: Customizing Graphics10 分
Practice: Creating a Slope Graph10 分
Question 2.31 - 2.322 分
Question 2.331 分
Practice: Exploring Reports Published on JMP Public10 分
Practice: Grouping and Combining Analysis Scripts10 分
Practice: Creating a Simple Dashboard10 分
Practice: Using a JMP Journal to Document Your Work10 分
Question 2.342 分
Question 2.352 分
Practice: Creating the Formula for Scrap Rate10 分
Practice: Checking the Data Table for Issues10 分
Question 2.361 分
Practice: Checking Data Quality with Summary Statistics and Graphs10 分
Question 2.37 - 2.382 分
Question 2.391 分
Practice: Exploring Missing Data15 分
Practice: Recoding Missing Values10 分
Practice: Using Recode to Bin Data10 分
Question 2.401 分
Practice: Stacking Data10 分
Question 2.411 分
Practice: Concatenating Data Tables10 分
Practice: Joining Data Tables10 分
Practice: Creating a Binning Formula10 分
Practice: Extracting Information from a Column10 分
Practice: Working with Dates10 分
6時間で修了
Module 3: Quality Methods
Learn about tools for quantifying, controlling and reducing variation in your product, service or process. Topics include control charts, process capability and measurement systems analysis.
6時間で修了
41件のビデオ （合計154分）, 3 学習用教材, 28 個のテスト
41件のビデオ
Quality Methods Overview4 分
Introduction to Control Charts6 分
Individual and Moving Range Charts4 分
Demo: Creating an I and MR Chart Using the Control Chart Builder2 分
Common Cause versus Special Cause Variation6 分
Testing for Special Causes6 分
Demo: Testing for Special Causes in the Control Chart Builder2 分
X-bar and R and X-bar and S Charts3 分
Demo: Creating X-bar and R and X-bar and S Charts2 分
Rational Subgrouping4 分
3-Way Control Charts2 分
Demo: Creating 3-Way Control Charts2 分
Control Charts with Phases3 分
Demo: Adding Phases to Control Charts1 分
The Voice of the Customer2 分
Process Capability Indices5 分
Short- and Long-Term Estimates of Capability2 分
Understanding Capability for Process Improvement4 分
Estimating Process Capability: An Example4 分
Demo: Calculating Capability Indices Using the Distribution Platform5 分
Demo: Conducting a Capability Analysis Using the Control Chart Builder2 分
Calculating Capability for Nonnormal Data3 分
Demo: Estimating Capability for Nonnormal Data3 分
Estimating Process Capability for Many Variables2 分
Identifying Poorly Performing Processes4 分
Demo: Identifying Poorly Performing Processes5 分
A View from Industry6 分
What is a Measurement Systems Analysis2 分
Language and Terminology4 分
Designing a Measurement System Study2 分
Designing and Conducting an MSA4 分
Demo: Creating a Gauge Study Worksheet1 分
Analyzing an MSA with Visualizations6 分
Demo: Visualizing Measurement System Variation4 分
Analyzing the MSA4 分
Demo: Analyzing an MSA2 分
Demo: Conducting a Gauge R&R Analysis4 分
Studying Measurement System Accuracy3 分
Demo: Analyzing Measurement System Bias2 分
Improving the Measurement Process2 分
3件の学習用教材
Activity: Area MSA5 分
Read About It1 分
Summary: Quality Methods1 分
26の練習問題
Question 3.021 分
Practice: Creating an I and MR Chart10 分
Question 3.032 分
Question 3.041 分
Practice: Creating I and MR Charts for the White Polymer Case Study10 分
Practice: Constructing an X-Bar and S Chart10 分
Question 3.051 分
Question 3.061 分
Practice: Evaluating whether Improvements Have Been Sustained10 分
Practice: Using Control Charts as an Exploratory Tool10 分
Question 3.071 分
Question 3.082 分
Activity: Calculating Capability Indices2 分
Question 3.091 分
Question 3.10 - 3.112 分
Practice: Calculating Capability Indices10 分
Practice: Conducting a Capability Analysis with a Phase Variable10 分
Practice: Conducting a Capability Analysis with Nonnormal Data10 分
Question 3.122 分
Question 3.131 分
Practice: Designing a Gauge Study10 分
Practice: Visualizing the Area Measurement MSA Data10 分
Practice: Visualizing the MFI MSA Data10 分
Practice: Analyze the Area Measurement MSA Data10 分
Practice: Analyzing the Melt Flow Index MSA10 分
Question 3.151 分
レビュー
STATISTICAL THINKING FOR INDUSTRIAL PROBLEM SOLVING, PRESENTED BY JMP からの人気レビュー
RSにより2020年9月2日
It is a really exhilarating course testing your practical and theoretical understanding about the subject covering most fields in the topic of data analytics along with jmp, a user-friendly platform.
AFにより2020年9月13日
Awesome course. The course is really big, but awesome. It teaches a lot of things about problem solving, statistics, visualization, and of course how to use the software.
VGにより2020年7月3日
one of the best course for data discovery , nice example and flow of course
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