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.
Este curso faz parte do Programa de cursos integrados Análise e interpretação de dadosAnálise e Interpretação de Dados
Ferramentas estatísticas para análise de sados
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Informações sobre o curso
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Learner Career Outcomes
29%
comecei uma nova carreira após concluir estes cursos
33%
consegui um benefício significativo de carreira com este curso
17%
recebi um aumento ou promoção
Habilidades que você terá
Chi-Squared (Chi-2) DistributionData AnalysisStatistical Hypothesis TestingAnalysis Of Variance (ANOVA)
Programa - O que você aprenderá com este curso
Semana
15 horas para concluir
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 vídeos (Total 79 mín.), 11 leituras, 1 teste
14 videos
Lesson 2 - From sample to population5min
Lesson 3 - Steps in hypothesis testing7min
Lesson 4 - What is a p value?5min
Lesson 5 - How to choose a statistical test1min
Lesson 6 - Ideas behind ANOVA9min
SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels6min
SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels2min
SAS Lesson 9 - Post hoc tests for ANOVA5min
SAS Lesson 10 - ANOVA summary2min
Python Lesson 7 - ANOVA: Explanatory variables with two levels8min
Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels3min
Python Lesson 9 - Post hoc tests for ANOVA5min
Python Lesson 10 - ANOVA Summary3min
11 leituras
Choosing SAS or Python10min
Getting Started with SAS10min
Getting Started with Python10min
Course Codebooks10min
Course Data Sets10min
Uploading Your Own Data to SAS10min
SAS Program Code for Video Examples10min
Python Program Code for Video Examples10min
Getting set up for the assignments10min
Tumblr Instructions10min
Example: Running an analysis of variance10min
Semana
23 horas para concluir
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 vídeos (Total 48 mín.), 3 leituras, 1 teste
7 videos
SAS Lesson 2 - Chi Square Test of independence in practice5min
SAS Lesson 3 - Post hoc tests for Chi Square tests of independence10min
SAS Lesson 4 - Chi Square summary1min
Python Lesson 2 - Chi Square test of independence in practice8min
Python Lesson 3 - Post hoc tests for Chi Square tests of independence8min
Python Lesson 4 - Chi Square summary1min
3 leituras
SAS Program Code for Video Examples10min
Python Program Code for Video Examples10min
Example: Running a Chi-Square Test of Independence10min
Semana
33 horas para concluir
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 vídeos (Total 18 mín.), 2 leituras, 1 teste
4 videos
Lesson 2 - Correlation Example3min
SAS Lesson 3 - Calculating Correlation4min
Python Lesson 3 - Calculating Correlation4min
2 leituras
SAS Program Code for Video Examples10min
Python Program Code for Video Examples10min
Semana
43 horas para concluir
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 vídeos (Total 51 mín.), 2 leituras, 1 teste
9 videos
SAS Lesson 2 - Testing moderation in the context of ANOVA4min
SAS Lesson 3 - Testing moderation in the context of chi square6min
SAS Lesson 4 - Testing moderation in the context of correlation4min
Python Lesson 1 - Defining moderation, a.k.a. statistical interaction4min
Python Lesson 2 - Testing moderation in the context of ANOVA3min
Python Lesson 3 - Testing moderation in the context of Chi-Square4min
Python Lesson 4 - Testing moderation in the context of correlation4min
A Question of Causation (Used with Permission from Annenberg Learner)14min
2 leituras
SAS Program Code for Video Examples10min
Python Program Code for Video Examples10min
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Ver termos e condiçõesPrincipais avaliações do Ferramentas estatísticas para análise de sados
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.
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!
Instrutores
Jen Rose
Research ProfessorPsychology
Lisa Dierker
ProfessorPsychology
Sobre Universidade Wesleyan
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.
Sobre Programa de cursos integrados Análise e interpretação de dadosAnálise e Interpretação de Dados
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.
Perguntas Frequentes – FAQ
Quando terei acesso às palestras e às tarefas?
Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.
O que recebo ao me inscrever nesta Especialização?
Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.
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