À propos de ce cours

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Résultats de carrière des étudiants

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ont commencé une nouvelle carrière après avoir terminé ce cours

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ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
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Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 16 heures pour terminer
Anglais
Sous-titres : Anglais, Coréen

Compétences que vous acquerrez

SAS LanguageData AnalysisPython ProgrammingData Management

Résultats de carrière des étudiants

44%

ont commencé une nouvelle carrière après avoir terminé ce cours

36%

ont bénéficié d'un avantage concret dans leur carrières grâce à ce cours
Certificat partageable
Obtenez un Certificat lorsque vous terminez
100 % en ligne
Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Dates limites flexibles
Réinitialisez les dates limites selon votre disponibilité.
Approx. 16 heures pour terminer
Anglais
Sous-titres : Anglais, Coréen

Enseignant

Offert par

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Université Wesleyenne

Programme du cours : ce que vous apprendrez dans ce cours

Évaluation du contenuThumbs Up94%(4,497 notes)Info
Semaine
1

Semaine 1

4 heures pour terminer

Selecting a research question

4 heures pour terminer
5 vidéos (Total 31 min), 6 lectures, 1 quiz
5 vidéos
Video Lesson - Steps in data analysis7 min
Video Lesson - What do we mean by data?4 min
Video Lesson - Datasets and codebooks7 min
Video Lesson - Developing a research question5 min
6 lectures
A few quick questions to get started10 min
Course codebooks10 min
Course Data Sets10 min
Getting Set Up for the Assignments10 min
Tumblr Instructions10 min
Troubleshooting Your Tumblr Assignment Blog Link10 min
Semaine
2

Semaine 2

4 heures pour terminer

Writing your first program - SAS or Python

4 heures pour terminer
8 vidéos (Total 59 min), 7 lectures, 1 quiz
8 vidéos
SAS Lesson 2 - SAS coding conventions8 min
SAS Lesson 3 - Running your program and examining frequency distribution9 min
SAS Lesson 4 - Refining your research question by selecting rows5 min
Python Lesson 1 - Defining Exploratory Data Analysis3 min
Python Lesson 2 - Python Coding Conventions8 min
Python Lesson 3 - Running your program and examining frequency distributions12 min
Python Lesson 4 - Refining your research question by selecting rows7 min
7 lectures
Choosing SAS or Python10 min
Getting Started with SAS10 min
Getting Started with Python10 min
Codebook for Video Examples10 min
Program for Video Examples10 min
Uploading Your Own Data to SAS10 min
Assignment Sample10 min
Semaine
3

Semaine 3

3 heures pour terminer

Managing Data

3 heures pour terminer
8 vidéos (Total 45 min), 3 lectures, 1 quiz
8 vidéos
SAS Lesson 2 - Coding in valid data and recoding values2 min
SAS Lesson 3 - Creating secondary variables7 min
SAS Lesson 4 - Grouping variables within individual variables2 min
Python Lesson 1 - Setting aside missing data7 min
Python Lesson 2 - Coding valid data and recoding values6 min
Python Lesson 3 - Creating secondary variables8 min
Python Lesson 4 - Grouping values within individual variables3 min
3 lectures
Program for Video Examples10 min
Codebook for Video Examples10 min
Assignment Sample10 min
Semaine
4

Semaine 4

4 heures pour terminer

Visualizing Data

4 heures pour terminer
12 vidéos (Total 107 min), 4 lectures, 1 quiz
12 vidéos
SAS Lesson 2 - Describing distributions visually7 min
SAS Lesson 3 - Measures of center and spread11 min
SAS Lesson 4 - Designing the role each of your variables will play5 min
SAS Lesson 5 - Graphing decisions: categorical response variables13 min
SAS Lesson 6 - Graphing decisions: quantitative response variable9 min
Python Lesson 1 - Graphing individual variables6 min
Python Lesson 2 - Describing distributions visually7 min
Python Lesson 3 - Measures of Center and Spread11 min
Python Lesson 4 - Designing the role each of your variables will play5 min
Python Lesson 5 - Graphing Decisions: Categorical response variables14 min
Python Lesson 6 - Graphing decisions: quantitative response variable9 min
4 lectures
Graphing Decisions Flowchart10 min
Programs for Video Examples10 min
Codebooks for Video Examples10 min
Assignment Sample10 min
1 heure pour terminer

Supplemental Materials (All Weeks)

1 heure pour terminer
3 lectures
3 lectures
How to Write a Literature Review10 min
Translation Code10 min
Acknowledgments10 min

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À propos du Spécialisation Analyse et interprétation de données

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....
Analyse et interprétation de données

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