このコースについて
7,247

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。

約13時間で修了

推奨:4 hours/week...

英語

字幕:英語

習得するスキル

Chi-Squared (Chi-2) DistributionData AnalysisStatistical Hypothesis TestingAnalysis Of Variance (ANOVA)

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。

約13時間で修了

推奨:4 hours/week...

英語

字幕:英語

シラバス - 本コースの学習内容

1
5時間で修了

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....
14件のビデオ (合計79分), 11 readings, 1 quiz
14件のビデオ
Lesson 2 - From sample to population5 分
Lesson 3 - Steps in hypothesis testing7 分
Lesson 4 - What is a p value?5 分
Lesson 5 - How to choose a statistical test1 分
Lesson 6 - Ideas behind ANOVA9 分
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels6 分
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels2 分
SAS Lesson 9 - Post hoc tests for ANOVA5 分
SAS Lesson 10 - ANOVA summary2 分
Python Lesson 7 - ANOVA: Explanatory variables with two levels8 分
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3 分
Python Lesson 9 - Post hoc tests for ANOVA5 分
Python Lesson 10 - ANOVA Summary3 分
11件の学習用教材
Choosing SAS or Python10 分
Getting Started with SAS10 分
Getting Started with Python10 分
Course Codebooks10 分
Course Data Sets10 分
Uploading Your Own Data to SAS10 分
SAS Program Code for Video Examples10 分
Python Program Code for Video Examples10 分
Getting set up for the assignments10 分
Tumblr Instructions10 分
Example: Running an analysis of variance10 分
2
3時間で修了

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. ...
7件のビデオ (合計48分), 3 readings, 1 quiz
7件のビデオ
SAS Lesson 2 - Chi Square Test of independence in practice5 分
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence10 分
SAS Lesson 4 - Chi Square summary1 分
Python Lesson 2 - Chi Square test of independence in practice8 分
Python Lesson 3 - Post hoc tests for Chi Square tests of independence8 分
Python Lesson 4 - Chi Square summary1 分
3件の学習用教材
SAS Program Code for Video Examples10 分
Python Program Code for Video Examples10 分
Example: Running a Chi-Square Test of Independence10 分
3
3時間で修了

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. ...
4件のビデオ (合計18分), 2 readings, 1 quiz
4件のビデオ
Lesson 2 - Correlation Example3 分
SAS Lesson 3 - Calculating Correlation4 分
Python Lesson 3 - Calculating Correlation4 分
2件の学習用教材
SAS Program Code for Video Examples10 分
Python Program Code for Video Examples10 分
4
3時間で修了

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. ...
9件のビデオ (合計51分), 2 readings, 1 quiz
9件のビデオ
SAS Lesson 2 - Testing moderation in the context of ANOVA4 分
SAS Lesson 3 - Testing moderation in the context of chi square6 分
SAS Lesson 4 - Testing moderation in the context of correlation4 分
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction4 分
Python Lesson 2 - Testing moderation in the context of ANOVA3 分
Python Lesson 3 - Testing moderation in the context of Chi-Square4 分
Python Lesson 4 - Testing moderation in the context of correlation4 分
A Question of Causation (Used with Permission from Annenberg Learner)14 分
2件の学習用教材
SAS Program Code for Video Examples10 分
Python Program Code for Video Examples10 分
4.5
77件のレビューChevron Right

33%

コース終了後に新しいキャリアをスタートした

38%

コースが具体的なキャリアアップにつながった

20%

昇給や昇進につながった

人気のレビュー

by DLDec 20th 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.

by GROct 5th 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!

講師

Avatar

Jen Rose

Research Professor
Psychology
Avatar

Lisa Dierker

Professor
Psychology

ウェズリアン大学(Wesleyan University)について

At Wesleyan, distinguished scholar-teachers work closely with students, taking advantage of fluidity among disciplines to explore the world with a variety of tools. The university seeks to build a diverse, energetic community of students, faculty, and staff who think critically and creatively and who value independence of mind and generosity of spirit. ...

Data Analysis and Interpretationの専門講座について

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....
Data Analysis and Interpretation

よくある質問

  • 修了証に登録すると、すべてのビデオ、テスト、およびプログラミング課題(該当する場合)にアクセスできます。ピアレビュー課題は、セッションが開始してからのみ、提出およびレビューできます。購入せずにコースを検討することを選択する場合、特定の課題にアクセスすることはできません。

  • コースに登録する際、専門講座のすべてのコースにアクセスできます。コースの完了時には修了証を取得できます。電子修了証が成果のページに追加され、そこから修了証を印刷したり、LinkedInのプロフィールに追加したりできます。コースの内容の閲覧のみを希望する場合は、無料でコースを聴講できます。

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。