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90,111 kürzliche Aufrufe

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nahm einen neuen Beruf nach Abschluss dieser Kurse auf

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ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
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100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
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Ca. 16 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Koreanisch

Kompetenzen, die Sie erwerben

SAS LanguageData AnalysisPython ProgrammingData Management

Karriereergebnisse der Lernenden

44%

nahm einen neuen Beruf nach Abschluss dieser Kurse auf

36%

ziehen Sie für Ihren Beruf greifbaren Nutzen aus diesem Kurs
Zertifikat zur Vorlage
Erhalten Sie nach Abschluss ein Zertifikat
100 % online
Beginnen Sie sofort und lernen Sie in Ihrem eigenen Tempo.
Flexible Fristen
Setzen Sie Fristen gemäß Ihrem Zeitplan zurück.
Ca. 16 Stunden zum Abschließen
Englisch
Untertitel: Englisch, Koreanisch

Dozent

von

Wesleyan University-Logo

Wesleyan University

Lehrplan - Was Sie in diesem Kurs lernen werden

InhaltsbewertungThumbs Up94%(4,519 Bewertungen)Info
Woche
1

Woche 1

4 Stunden zum Abschließen

Selecting a research question

4 Stunden zum Abschließen
5 Videos (Gesamt 31 min), 6 Lektüren, 1 Quiz
5 Videos
Video Lesson - Steps in data analysis7m
Video Lesson - What do we mean by data?4m
Video Lesson - Datasets and codebooks7m
Video Lesson - Developing a research question5m
6 Lektüren
A few quick questions to get started10m
Course codebooks10m
Course Data Sets10m
Getting Set Up for the Assignments10m
Tumblr Instructions10m
Troubleshooting Your Tumblr Assignment Blog Link10m
Woche
2

Woche 2

4 Stunden zum Abschließen

Writing your first program - SAS or Python

4 Stunden zum Abschließen
8 Videos (Gesamt 59 min), 7 Lektüren, 1 Quiz
8 Videos
SAS Lesson 2 - SAS coding conventions8m
SAS Lesson 3 - Running your program and examining frequency distribution9m
SAS Lesson 4 - Refining your research question by selecting rows5m
Python Lesson 1 - Defining Exploratory Data Analysis3m
Python Lesson 2 - Python Coding Conventions8m
Python Lesson 3 - Running your program and examining frequency distributions12m
Python Lesson 4 - Refining your research question by selecting rows7m
7 Lektüren
Choosing SAS or Python10m
Getting Started with SAS10m
Getting Started with Python10m
Codebook for Video Examples10m
Program for Video Examples10m
Uploading Your Own Data to SAS10m
Assignment Sample10m
Woche
3

Woche 3

3 Stunden zum Abschließen

Managing Data

3 Stunden zum Abschließen
8 Videos (Gesamt 45 min), 3 Lektüren, 1 Quiz
8 Videos
SAS Lesson 2 - Coding in valid data and recoding values2m
SAS Lesson 3 - Creating secondary variables7m
SAS Lesson 4 - Grouping variables within individual variables2m
Python Lesson 1 - Setting aside missing data7m
Python Lesson 2 - Coding valid data and recoding values6m
Python Lesson 3 - Creating secondary variables8m
Python Lesson 4 - Grouping values within individual variables3m
3 Lektüren
Program for Video Examples10m
Codebook for Video Examples10m
Assignment Sample10m
Woche
4

Woche 4

4 Stunden zum Abschließen

Visualizing Data

4 Stunden zum Abschließen
12 Videos (Gesamt 107 min), 4 Lektüren, 1 Quiz
12 Videos
SAS Lesson 2 - Describing distributions visually7m
SAS Lesson 3 - Measures of center and spread11m
SAS Lesson 4 - Designing the role each of your variables will play5m
SAS Lesson 5 - Graphing decisions: categorical response variables13m
SAS Lesson 6 - Graphing decisions: quantitative response variable9m
Python Lesson 1 - Graphing individual variables6m
Python Lesson 2 - Describing distributions visually7m
Python Lesson 3 - Measures of Center and Spread11m
Python Lesson 4 - Designing the role each of your variables will play5m
Python Lesson 5 - Graphing Decisions: Categorical response variables14m
Python Lesson 6 - Graphing decisions: quantitative response variable9m
4 Lektüren
Graphing Decisions Flowchart10m
Programs for Video Examples10m
Codebooks for Video Examples10m
Assignment Sample10m
1 Stunde zum Abschließen

Supplemental Materials (All Weeks)

1 Stunde zum Abschließen
3 Lektüren
3 Lektüren
How to Write a Literature Review10m
Translation Code10m
Acknowledgments10m

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Über den Spezialisierung Data Analysis and Interpretation

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

Häufig gestellte Fragen

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  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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