課程信息
4.4
654 個評分
183 個審閱
專項課程

第 1 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為17 小時

建議:4 weeks of study, 4-5 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語...

您將獲得的技能

SAS LanguageData AnalysisPython ProgrammingData Management
專項課程

第 1 門課程(共 5 門),位於

100% 在線

100% 在線

立即開始,按照自己的計劃學習。
可靈活調整截止日期

可靈活調整截止日期

根據您的日程表重置截止日期。
完成時間(小時)

完成時間大約為17 小時

建議:4 weeks of study, 4-5 hours/week...
可選語言

英語(English)

字幕:英語(English), 韓語...

教學大綱 - 您將從這門課程中學到什麼

1
完成時間(小時)
完成時間為 4 小時

Selecting a research question

We would like to welcome you to Wesleyan University's Data Analysis and Interpretation Specialization. In this session, we will discuss the basics of data analysis. Your task will be to select a data set that you would like to work with and to review available code books that help you develop your own research question. You will also set up a Tumblr blog that will allow you to reflect on these experiences, submit assignments and share your work with others throughout the course. First, you may want to check out the welcome video...
Reading
5 個視頻(共 31 分鐘), 6 個閱讀材料, 1 個測驗
Video5 個視頻
Video Lesson - Steps in data analysis7分鐘
Video Lesson - What do we mean by data?4分鐘
Video Lesson - Datasets and codebooks7分鐘
Video Lesson - Developing a research question5分鐘
Reading6 個閱讀材料
A few quick questions to get started10分鐘
Course codebooks10分鐘
Course Data Sets10分鐘
Getting Set Up for the Assignments10分鐘
Tumblr Instructions10分鐘
Troubleshooting Your Tumblr Assignment Blog Link10分鐘
2
完成時間(小時)
完成時間為 4 小時

Writing your first program - SAS or Python

In this session, we will discuss how to write a basic program that allows you to load a data set and examine frequency distributions. Your task will be to write a program that helps you to explore the variables you have selected for your own research question. You may choose either Python or SAS. Both are made freely available, and we have created a helpful guide to support you in making the decision. Once you have selected your platform, just follow the instructions in the appropriate "GETTING STARTED...." file, and then check out this week's video lessons aimed at helping you write and run your first program. You need only view the lessons for one of the statistical platforms (SAS or Python). ...
Reading
8 個視頻(共 59 分鐘), 7 個閱讀材料, 1 個測驗
Video8 個視頻
SAS Lesson 2 - SAS coding conventions8分鐘
SAS Lesson 3 - Running your program and examining frequency distribution9分鐘
SAS Lesson 4 - Refining your research question by selecting rows5分鐘
Python Lesson 1 - Defining Exploratory Data Analysis3分鐘
Python Lesson 2 - Python Coding Conventions8分鐘
Python Lesson 3 - Running your program and examining frequency distributions12分鐘
Python Lesson 4 - Refining your research question by selecting rows7分鐘
Reading7 個閱讀材料
Choosing SAS or Python10分鐘
Getting Started with SAS10分鐘
Getting Started with Python10分鐘
Codebook for Video Examples10分鐘
Program for Video Examples10分鐘
Uploading Your Own Data to SAS10分鐘
Assignment Sample10分鐘
3
完成時間(小時)
完成時間為 3 小時

Managing Data

In this session, we will help you to make and implement even more decisions with data. Statisticians often call this task 'data management', while computer scientists like the term 'data munging'. Whatever you call it, it is a vital and ongoing process when working with data. Your task will be to write a program that manages the variables you have selected for your own research question. ...
Reading
8 個視頻(共 45 分鐘), 3 個閱讀材料, 1 個測驗
Video8 個視頻
SAS Lesson 2 - Coding in valid data and recoding values2分鐘
SAS Lesson 3 - Creating secondary variables7分鐘
SAS Lesson 4 - Grouping variables within individual variables2分鐘
Python Lesson 1 - Setting aside missing data7分鐘
Python Lesson 2 - Coding valid data and recoding values6分鐘
Python Lesson 3 - Creating secondary variables8分鐘
Python Lesson 4 - Grouping values within individual variables3分鐘
Reading3 個閱讀材料
Program for Video Examples10分鐘
Codebook for Video Examples10分鐘
Assignment Sample10分鐘
4
完成時間(小時)
完成時間為 4 小時

Visualizing Data

In this session we will discuss descriptive statistics and get you visualizing your newly data managed variables individually and as graphs showing the relationships between them. ...
Reading
12 個視頻(共 107 分鐘), 4 個閱讀材料, 1 個測驗
Video12 個視頻
SAS Lesson 2 - Describing distributions visually7分鐘
SAS Lesson 3 - Measures of center and spread11分鐘
SAS Lesson 4 - Designing the role each of your variables will play5分鐘
SAS Lesson 5 - Graphing decisions: categorical response variables13分鐘
SAS Lesson 6 - Graphing decisions: quantitative response variable9分鐘
Python Lesson 1 - Graphing individual variables6分鐘
Python Lesson 2 - Describing distributions visually7分鐘
Python Lesson 3 - Measures of Center and Spread11分鐘
Python Lesson 4 - Designing the role each of your variables will play5分鐘
Python Lesson 5 - Graphing Decisions: Categorical response variables14分鐘
Python Lesson 6 - Graphing decisions: quantitative response variable9分鐘
Reading4 個閱讀材料
Graphing Decisions Flowchart10分鐘
Programs for Video Examples10分鐘
Codebooks for Video Examples10分鐘
Assignment Sample10分鐘
完成時間(小時)
完成時間為 1 小時

Supplemental Materials (All Weeks)

...
Reading
3 個閱讀材料
Reading3 個閱讀材料
How to Write a Literature Review10分鐘
Translation Code10分鐘
Acknowledgments10分鐘
4.4
183 個審閱Chevron Right
職業方向

38%

完成這些課程後已開始新的職業生涯
工作福利

83%

通過此課程獲得實實在在的工作福利

熱門審閱

創建者 SPJun 26th 2018

This is a great course for beginners. The course instructors have arranged the course at a very comfortable pace and this is a great beginning point for anyone who wants to learn SAS or Python.

創建者 YWJun 11th 2017

This course covers the basic data management and visualization using SAS and Python. I like the simplicity and straightforwardness of the contents. Will continue to explore this specialization.

講師

Avatar

Lisa Dierker

Professor
Psychology

關於 Wesleyan University

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. ...

關於 Data Analysis and Interpretation 專項課程

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

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