Об этом курсе
4.5
Оценки: 329
Рецензии: 76
Специализация
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Часов на завершение

Прибл. 13 часа на выполнение

Предполагаемая нагрузка: 4 hours/week...
Доступные языки

Английский

Субтитры: Английский

Приобретаемые навыки

Chi-Squared (Chi-2) DistributionData AnalysisStatistical Hypothesis TestingAnalysis Of Variance (ANOVA)
Специализация
100% онлайн

100% онлайн

Начните сейчас и учитесь по собственному графику.
Гибкие сроки

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Часов на завершение

Прибл. 13 часа на выполнение

Предполагаемая нагрузка: 4 hours/week...
Доступные языки

Английский

Субтитры: Английский

Программа курса: что вы изучите

Неделя
1
Часов на завершение
5 ч. на завершение

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....
Reading
14 видео ((всего 79 мин.)), 11 материалов для самостоятельного изучения, 1 тест
Video14 видео
Lesson 2 - From sample to population5мин
Lesson 3 - Steps in hypothesis testing7мин
Lesson 4 - What is a p value?5мин
Lesson 5 - How to choose a statistical test1мин
Lesson 6 - Ideas behind ANOVA9мин
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels6мин
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels2мин
SAS Lesson 9 - Post hoc tests for ANOVA5мин
SAS Lesson 10 - ANOVA summary2мин
Python Lesson 7 - ANOVA: Explanatory variables with two levels8мин
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3мин
Python Lesson 9 - Post hoc tests for ANOVA5мин
Python Lesson 10 - ANOVA Summary3мин
Reading11 материала для самостоятельного изучения
Choosing SAS or Python10мин
Getting Started with SAS10мин
Getting Started with Python10мин
Course Codebooks10мин
Course Data Sets10мин
Uploading Your Own Data to SAS10мин
SAS Program Code for Video Examples10мин
Python Program Code for Video Examples10мин
Getting set up for the assignments10мин
Tumblr Instructions10мин
Example: Running an analysis of variance10мин
Неделя
2
Часов на завершение
3 ч. на завершение

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. ...
Reading
7 видео ((всего 48 мин.)), 3 материалов для самостоятельного изучения, 1 тест
Video7 видео
SAS Lesson 2 - Chi Square Test of independence in practice5мин
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence10мин
SAS Lesson 4 - Chi Square summary1мин
Python Lesson 2 - Chi Square test of independence in practice8мин
Python Lesson 3 - Post hoc tests for Chi Square tests of independence8мин
Python Lesson 4 - Chi Square summary1мин
Reading3 материала для самостоятельного изучения
SAS Program Code for Video Examples10мин
Python Program Code for Video Examples10мин
Example: Running a Chi-Square Test of Independence10мин
Неделя
3
Часов на завершение
3 ч. на завершение

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. ...
Reading
4 видео ((всего 18 мин.)), 2 материалов для самостоятельного изучения, 1 тест
Video4 видео
Lesson 2 - Correlation Example3мин
SAS Lesson 3 - Calculating Correlation4мин
Python Lesson 3 - Calculating Correlation4мин
Reading2 материала для самостоятельного изучения
SAS Program Code for Video Examples10мин
Python Program Code for Video Examples10мин
Неделя
4
Часов на завершение
3 ч. на завершение

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. ...
Reading
9 видео ((всего 51 мин.)), 2 материалов для самостоятельного изучения, 1 тест
Video9 видео
SAS Lesson 2 - Testing moderation in the context of ANOVA4мин
SAS Lesson 3 - Testing moderation in the context of chi square6мин
SAS Lesson 4 - Testing moderation in the context of correlation4мин
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction4мин
Python Lesson 2 - Testing moderation in the context of ANOVA3мин
Python Lesson 3 - Testing moderation in the context of Chi-Square4мин
Python Lesson 4 - Testing moderation in the context of correlation4мин
A Question of Causation (Used with Permission from Annenberg Learner)14мин
Reading2 материала для самостоятельного изучения
SAS Program Code for Video Examples10мин
Python Program Code for Video Examples10мин
4.5
Рецензии: 76Chevron Right
Формирование карьерного пути

33%

начал новую карьеру, пройдя эти курсы
Карьерные преимущества

38%

получил значимые преимущества в карьере благодаря этому курсу
Продвижение по карьерной лестнице

20%

стал больше зарабатывать или получил повышение

Лучшие рецензии

автор: 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.

автор: AMDec 3rd 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.

Преподавателя

Avatar

Jen Rose

Research Professor
Psychology
Avatar

Lisa Dierker

Professor
Psychology

О Уэслианский университет

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. ...

О специализации ''Анализ и интерпретация данных'

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....
Анализ и интерпретация данных

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