Regression & Logistic Models in Excel & Minitab

抓住节省的机会！购买 Coursera Plus 3 个月课程可享受40% 的折扣，并可完全访问数千门课程。

Regression & Logistic Models in Excel & Minitab

本课程是 Predictive Analytics & Modeling with Minitab 专项课程的一部分

位教师：EDUCBA

包含在中

了解更多

4个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

1 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Apply advanced regression and logistic modeling in Excel and Minitab.
Interpret outputs, diagnose model issues, and assess predictor significance.
Use ANOVA, t-tests, and correlation for business-focused data analysis.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

添加到您的领英档案

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Predictive Analytics & Modeling with Minitab 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有4个模块

By the end of this course, learners will be able to apply advanced regression techniques, interpret outputs, diagnose model issues, and implement logistic regression for real-world business applications. They will also master statistical tools in Excel and Minitab, enabling them to perform t-tests, ANOVA, correlation, and predictive modeling with confidence.

This course equips learners with both theoretical understanding and hands-on practice in predictive analytics. Through practical datasets, scatterplots, and business-focused case studies, learners will gain the ability to transform raw data into actionable insights. They will develop critical skills in identifying predictor significance, handling multicollinearity, and generating accurate regression equations. What makes this course unique is its balance of applied examples, rigorous diagnostics, and practical tool demonstrations. From consumer purchase analysis to business decision-making scenarios, learners will see how regression techniques directly support strategic outcomes. By completing this course, learners will be prepared to evaluate data-driven models, interpret complex statistical outputs, and apply regression analysis to solve real-world challenges.

This module introduces learners to advanced regression methods, focusing on predicted values, scatterplots, regression outputs, and diagnostics. Learners will gain practical skills in interpreting coefficients, testing significance, and identifying issues such as multicollinearity to ensure robust regression modeling.

涵盖的内容

11个视频3个作业

11个视频总计93分钟

Generate Predicted Values 8分钟
Scatterplot Return RIL 7分钟
Basic Multiple Regression 9分钟
Basic Multiple Regression Continues 8分钟
Basic Multiple Regression - Interpretation 5分钟
Generate Basic Statistics 7分钟
Working on Scatterplot 4分钟
Dependent Variable Objective 12分钟
Concept of Multicollinearity 9分钟
Identify Dependent Variable Y 12分钟
Outputs and Observation 12分钟

3个作业总计50分钟

Advanced Regression Techniques 30分钟
Predicted Values & Scatterplots 10分钟
Regression Outputs and Diagnostics 10分钟

This module emphasizes applied examples of regression, guiding learners through practical dataset analysis and interpretation. Learners will practice predicting values, visualizing results, and comparing models to develop strong data-driven decision-making skills.

涵盖的内容

11个视频3个作业

11个视频总计89分钟

Interpretations - Example 3 10分钟
Calculate with and without Flux 7分钟
Scatterplot of Heart FLux Vs Insolation 6分钟
Interpretation of Datasets 12分钟
Implementation of Datasets 7分钟
Example 4 Observations 10分钟
Display Descriptive Statistics 7分钟
Predicted Values Example 4 10分钟
Scatterplot of Example 4 5分钟
Calculating IV - Multiple Regression 10分钟
Calculating Independent Multiple Regression 4分钟

3个作业总计50分钟

Interpreting Regression Results 30分钟
Applied Examples in Regression 10分钟
Predicted Values and Scatterplots 10分钟

This module explores logistic regression foundations and real-world applications. Learners will understand categorical outcomes, interpret odds ratios, generate logistic models, and apply business-relevant case studies for actionable insights.

涵盖的内容

16个视频3个作业

16个视频总计144分钟

Understanding Basic Logistic Scatter Plot 10分钟
Basic Logistic Scatter Plot Continues 8分钟
Generation of Regression Equation 11分钟
Tabulated Values 7分钟
Interpretation and Implementation on Dataset 11分钟
Interpretation and Implementation on Dataset Continues 8分钟
Output and Observation - Tabulated Values 9分钟
Business Metrics Example 7分钟
Example Two and Three Interpretations 7分钟
Regression Equation Group 8分钟
Interpretation and Implementation of Scatter Plot 9分钟
More on Implementation of Scatter Plot 6分钟
Plastic Case Strength 11分钟
Separate Equations 11分钟
Generation of Predicted Values 11分钟
Scatter Plot Strength Vs Temp 10分钟

3个作业总计50分钟

Logistic Regression & Applications 30分钟
Logistic Regression Foundations 10分钟
Outputs and Case Studies 10分钟

This module focuses on applying regression and statistical tools to real-world business and consumer data. Learners will use Excel and Minitab for analysis, implement tests like t-test, ANOVA, and correlation, and generate actionable insights for business applications.

涵盖的内容

18个视频4个作业

18个视频总计165分钟

Data of Cereal Purchase 11分钟
Children View Ad and RE 10分钟
Predicted Values for Individual Customers 12分钟
Income Independent Variable 9分钟
Example of Credit Card Issuing 11分钟
Example Five - Tabulated Values 9分钟
Generating Outputs 9分钟
Example Five Interpretations 11分钟
Situations Income 10分钟
Adding Predicted Values 7分钟
Scatter Plot Scale 9分钟
Using Data Analysis Toolpak 7分钟
Implementation of Descriptive Statistics 8分钟
Descriptive statistics - Input Range 7分钟
Implementation of ANOVA 6分钟
Implementation of T - Test 6分钟
Implementation Using Correlation 10分钟
Implementation Using Regression 12分钟

4个作业总计60分钟

Business Applications & Data Analysis Tools 30分钟
Business and Consumer Data 10分钟
Example-Based Predictions 10分钟
Using Excel and Minitab for Analysis 10分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

EDUCBA

1,047 门课程 236,112 名学生

提供方

EDUCBA

从 Data Analysis 浏览更多内容

状态：免费试用
EDUCBA
Predictive Analytics & Modeling with Minitab
专项课程
状态：免费试用
EDUCBA
Analyze Advanced Data Using Minitab Regression Models
课程
状态：免费试用
EDUCBA
Analyze Predictor Impact Using Regression in Minitab
课程
状态：免费试用
EDUCBA
Apply Data Analytics with Minitab for Business Decisions
课程

人们为什么选择 Coursera 来帮助自己实现职业发展

Felipe M.

自 2018开始学习的学生

''能够按照自己的速度和节奏学习课程是一次很棒的经历。只要符合自己的时间表和心情，我就可以学习。'

Jennifer J.

自 2020开始学习的学生

''我直接将从课程中学到的概念和技能应用到一个令人兴奋的新工作项目中。'

Larry W.

自 2021开始学习的学生

''如果我的大学不提供我需要的主题课程，Coursera 便是最好的去处之一。'

Chaitanya A.

''学习不仅仅是在工作中做的更好：它远不止于此。Coursera 让我无限制地学习。'

通过 Coursera Plus 开启新生涯

无限制访问 10,000+ 世界一流的课程、实践项目和就业就绪证书课程 - 所有这些都包含在您的订阅中

了解更多

通过在线学位推动您的职业生涯

获取世界一流大学的学位 - 100% 在线

探索学位

加入超过 3400 家选择 Coursera for Business 的全球公司

提升员工的技能，使其在数字经济中脱颖而出

了解更多

常见问题

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.