课程信息

12,696 次近期查看

学生职业成果

29%

完成这些课程后已开始新的职业生涯

29%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 3 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为15 小时
英语(English)
字幕:英语(English)

您将获得的技能

Logistic RegressionData AnalysisPython ProgrammingRegression Analysis

学生职业成果

29%

完成这些课程后已开始新的职业生涯

29%

通过此课程获得实实在在的工作福利
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 3 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为15 小时
英语(English)
字幕:英语(English)

提供方

卫斯连大学 徽标

卫斯连大学

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up93%(1,001 个评分)Info
1

1

完成时间为 3 小时

Introduction to Regression

完成时间为 3 小时
4 个视频 (总计 25 分钟), 5 个阅读材料, 1 个测验
4 个视频
Lesson 2: Experimental Data6分钟
Lesson 3: Confounding Variables8分钟
Lesson 4: Introduction to Multivariate Methods6分钟
5 个阅读材料
Some Guidance for Learners New to the Specialization10分钟
Getting Set up for Assignments10分钟
Tumblr Instructions10分钟
How to Write About Data10分钟
Writing About Your Data: Example Assignment10分钟
2

2

完成时间为 4 小时

Basics of Linear Regression

完成时间为 4 小时
8 个视频 (总计 53 分钟), 9 个阅读材料, 1 个测验
8 个视频
SAS Lesson 2: Testing a Basic Linear Regression Mode6分钟
SAS Lesson 3: Categorical Explanatory Variables5分钟
Python Lesson 1: More on Confounding Variables6分钟
Python Lesson 2: Testing a Basic Linear Regression Model8分钟
Python Lesson 3: Categorical Explanatory Variables4分钟
Lesson 4: Linear Regression Assumptions12分钟
Lesson 5: Centering Explanatory Variables3分钟
9 个阅读材料
SAS or Python - Which to Choose?10分钟
Getting Started with SAS10分钟
Getting Started with Python10分钟
Course Codebooks10分钟
Course Data Sets10分钟
Uploading Your Own Data to SAS10分钟
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
Outlier Decision Tree10分钟
3

3

完成时间为 3 小时

Multiple Regression

完成时间为 3 小时
10 个视频 (总计 68 分钟), 2 个阅读材料, 1 个测验
10 个视频
SAS Lesson 2: Confidence Intervals3分钟
SAS Lesson 3: Polynomial Regression8分钟
SAS Lesson 4: Evaluating Model Fit, pt. 15分钟
SAS Lesson 5: Evaluating Model Fit, pt. 29分钟
Python Lesson 1: Multiple Regression6分钟
Python Lesson 2: Confidence Intervals3分钟
Python Lesson 3: Polynomial Regression9分钟
Python Lesson 4: Evaluating Model Fit, pt. 15分钟
Python Lesson 5: Evaluating Model Fit, pt. 210分钟
2 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
4

4

完成时间为 4 小时

Logistic Regression

完成时间为 4 小时
7 个视频 (总计 38 分钟), 6 个阅读材料, 1 个测验
7 个视频
Python Lesson 1: Categorical Explanatory Variables with More Than Two Categories6分钟
Lesson 2: A Few Things to Keep in Mind2分钟
SAS Lesson 3: Logistic Regression for a Binary Response Variable, pt 17分钟
SAS Lesson 4: Logistic Regression for a Binary Response Variable, pt. 24分钟
Python Lesson 3: Logistic Regression for a Binary Response Variable, pt. 17分钟
Python Lesson 4: Logistic Regression for a Binary Response Variable, pt. 23分钟
6 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
Week 1 Video Credits10分钟
Week 2 Video Credits10分钟
Week 3 Video Credits10分钟
Week 4 Video Credits10分钟

审阅

来自回归建模实践的热门评论

查看所有评论

关于 数据分析和解释 专项课程

Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python, including pandas and Scikit-learn. Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partners, DRIVENDATA and The Connection. Help DRIVENDATA solve some of the world's biggest social challenges by joining one of their competitions, or help The Connection better understand recidivism risk for people on parole in substance use treatment. Regular feedback from peers will provide you a chance to reshape your question. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for data insights, or you just have some burning questions you want to explore. No prior experience is required. By the end you will have mastered statistical methods to conduct original research to inform complex decisions....
数据分析和解释

常见问题

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. 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.
  • 您注册课程后,将有权访问专项课程中的所有课程,并且会在完成课程后获得证书。您的电子课程证书将添加到您的成就页中,您可以通过该页打印您的课程证书或将其添加到您的领英档案中。如果您只想阅读和查看课程内容,可以免费旁听课程。

  • 如果订阅,您可以获得 7 天免费试听,在此期间,您可以取消课程,无需支付任何罚金。在此之后,我们不会退款,但您可以随时取消订阅。请阅读我们完整的退款政策

  • 是的,Coursera 可以为无法承担费用的学生提供助学金。通过点击左侧“注册”按钮下的“助学金”链接可以申请助学金。您可以根据屏幕提示完成申请,申请获批后会收到通知。您需要针对专项课程中的每一门课程完成上述步骤,包括毕业项目。了解更多

还有其他问题吗?请访问 学生帮助中心