In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.
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数据分析和解释 专项课程卫斯连大学课程信息
20,083 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
33%
通过此课程获得实实在在的工作福利
17%
加薪或升职
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 2 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14 小时
英语（English）
字幕：英语（English）
您将获得的技能
Chi-Squared (Chi-2) DistributionData AnalysisStatistical Hypothesis TestingAnalysis Of Variance (ANOVA)
学生职业成果
29%
完成这些课程后已开始新的职业生涯
33%
通过此课程获得实实在在的工作福利
17%
加薪或升职
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 2 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14 小时
英语（English）
字幕：英语（English）
提供方
卫斯连大学
Wesleyan University, founded in 1831, is a diverse, energetic liberal arts community where critical thinking and practical idealism go hand in hand. With our distinctive scholar-teacher culture, creative programming, and commitment to interdisciplinary learning, Wesleyan challenges students to explore new ideas and change the world. Our graduates go on to lead and innovate in a wide variety of industries, including government, business, entertainment, and science.
教学大纲 - 您将从这门课程中学到什么
完成时间为 5 小时
Hypothesis Testing and ANOVA
This session starts where the Data Management and Visualization course left off. Now that you have selected a data set and research question, managed your variables of interest and visualized their relationship graphically, we are ready to test those relationships statistically. The first group of videos describe the process of hypothesis testing which you will use throughout this course to test relationships between different kinds of variables (quantitative and categorical). Next, we show you how to test hypotheses in the context of Analysis of Variance (when you have one quantitative variable and one categorical variable). Your task will be to write a program that manages any additional variables you may need and runs and interprets an Analysis of Variance test. Note that if your research question does not include one quantitative variable, you can use one from your data set just to get some practice with the tool. If your research question does not include a categorical variable, you can categorize one that is quantitative.
完成时间为 5 小时
14 个视频 （总计 79 分钟）, 11 个阅读材料, 1 个测验
14 个视频
Lesson 2 - From sample to population5分钟
Lesson 3 - Steps in hypothesis testing7分钟
Lesson 4 - What is a p value?5分钟
Lesson 5 - How to choose a statistical test1分钟
Lesson 6 - Ideas behind ANOVA9分钟
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels6分钟
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels2分钟
SAS Lesson 9 - Post hoc tests for ANOVA5分钟
SAS Lesson 10 - ANOVA summary2分钟
Python Lesson 7 - ANOVA: Explanatory variables with two levels8分钟
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3分钟
Python Lesson 9 - Post hoc tests for ANOVA5分钟
Python Lesson 10 - ANOVA Summary3分钟
11 个阅读材料
Choosing SAS or Python10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
Getting set up for the assignments10分钟
Tumblr Instructions10分钟
Example: Running an analysis of variance10分钟
完成时间为 3 小时
Chi Square Test of Independence
This session shows you how to test hypotheses in the context of a Chi-Square Test of Independence (when you have two categorical variables). Your task will be to write a program that manages any additional variables you may need and runs and interprets a Chi-Square Test of Independence. Note that if your research question only includes quantitative variables, you can categorize those just to get some practice with the tool.
完成时间为 3 小时
7 个视频 （总计 48 分钟）, 3 个阅读材料, 1 个测验
7 个视频
SAS Lesson 2 - Chi Square Test of independence in practice5分钟
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence10分钟
SAS Lesson 4 - Chi Square summary1分钟
Python Lesson 2 - Chi Square test of independence in practice8分钟
Python Lesson 3 - Post hoc tests for Chi Square tests of independence8分钟
Python Lesson 4 - Chi Square summary1分钟
3 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
Example: Running a Chi-Square Test of Independence10分钟
完成时间为 3 小时
Pearson Correlation
This session shows you how to test hypotheses in the context of a Pearson Correlation (when you have two quantitative variables). Your task will be to write a program that manages any additional variables you may need and runs and interprets a correlation coefficient. Note that if your research question only includes categorical variables, you can choose other variables from your data set just to get some practice with the tool.
完成时间为 3 小时
4 个视频 （总计 18 分钟）, 2 个阅读材料, 1 个测验
4 个视频
Lesson 2 - Correlation Example3分钟
SAS Lesson 3 - Calculating Correlation4分钟
Python Lesson 3 - Calculating Correlation4分钟
2 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
完成时间为 3 小时
Exploring Statistical Interactions
In this session, we will discuss the basic concept of statistical interaction (also known as moderation). In statistics, moderation occurs when the relationship between two variables depends on a third variable. The effect of a moderating variable is often characterized statistically as an interaction; that is, a third variable that affects the direction and/or strength of the relation between your explanatory (X) and response (Y) variable. Your task will be to test your own research question in the context of one or more potential moderating variables.
完成时间为 3 小时
9 个视频 （总计 51 分钟）, 2 个阅读材料, 1 个测验
9 个视频
SAS Lesson 2 - Testing moderation in the context of ANOVA4分钟
SAS Lesson 3 - Testing moderation in the context of chi square6分钟
SAS Lesson 4 - Testing moderation in the context of correlation4分钟
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction4分钟
Python Lesson 2 - Testing moderation in the context of ANOVA3分钟
Python Lesson 3 - Testing moderation in the context of Chi-Square4分钟
Python Lesson 4 - Testing moderation in the context of correlation4分钟
A Question of Causation (Used with Permission from Annenberg Learner)14分钟
2 个阅读材料
SAS Program Code for Video Examples10分钟
Python Program Code for Video Examples10分钟
审阅
来自数据分析工具的热门评论
由 DL 提供Dec 19, 2015
Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.
由 AS 提供Feb 9, 2017
This was good module. It covers the basics of inferential statistical techniques along with its application using SAS/Python. I would definitely recommend to take up if you are a beginner.
由 GR 提供Oct 4, 2017
Just love this whole specialisation! videos are great, lessons are great... it's just a great course! highly recommended to anyone looking to dive into the field of data analysis!
由 AM 提供Dec 2, 2015
Very good for beginners. concept explanation as well as coding were great. doesn't take too long to finish. I enrolled regression modeling course by Wesleyan and waiting to start.
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.
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