课程信息
4.4
658 个评分
185 个审阅
专项课程

第 1 门课程(共 5 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为17 小时

建议:4 weeks of study, 4-5 hours/week...
可选语言

英语(English)

字幕:英语(English), 韩语

您将获得的技能

SAS LanguageData AnalysisPython ProgrammingData Management
专项课程

第 1 门课程(共 5 门)

100% 在线

100% 在线

立即开始,按照自己的计划学习。
可灵活调整截止日期

可灵活调整截止日期

根据您的日程表重置截止日期。
完成时间(小时)

完成时间大约为17 小时

建议:4 weeks of study, 4-5 hours/week...
可选语言

英语(English)

字幕:英语(English), 韩语

教学大纲 - 您将从这门课程中学到什么

1
完成时间(小时)
完成时间为 4 小时

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 个视频 (总计 31 分钟), 6 个阅读材料, 1 个测验
Video5 个视频
Video Lesson - Steps in data analysis7分钟
Video Lesson - What do we mean by data?4分钟
Video Lesson - Datasets and codebooks7分钟
Video Lesson - Developing a research question5分钟
Reading6 个阅读材料
A few quick questions to get started10分钟
Course codebooks10分钟
Course Data Sets10分钟
Getting Set Up for the Assignments10分钟
Tumblr Instructions10分钟
Troubleshooting Your Tumblr Assignment Blog Link10分钟
2
完成时间(小时)
完成时间为 4 小时

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 个视频 (总计 59 分钟), 7 个阅读材料, 1 个测验
Video8 个视频
SAS Lesson 2 - SAS coding conventions8分钟
SAS Lesson 3 - Running your program and examining frequency distribution9分钟
SAS Lesson 4 - Refining your research question by selecting rows5分钟
Python Lesson 1 - Defining Exploratory Data Analysis3分钟
Python Lesson 2 - Python Coding Conventions8分钟
Python Lesson 3 - Running your program and examining frequency distributions12分钟
Python Lesson 4 - Refining your research question by selecting rows7分钟
Reading7 个阅读材料
Choosing SAS or Python10分钟
Getting Started with SAS10分钟
Getting Started with Python10分钟
Codebook for Video Examples10分钟
Program for Video Examples10分钟
Uploading Your Own Data to SAS10分钟
Assignment Sample10分钟
3
完成时间(小时)
完成时间为 3 小时

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 个视频 (总计 45 分钟), 3 个阅读材料, 1 个测验
Video8 个视频
SAS Lesson 2 - Coding in valid data and recoding values2分钟
SAS Lesson 3 - Creating secondary variables7分钟
SAS Lesson 4 - Grouping variables within individual variables2分钟
Python Lesson 1 - Setting aside missing data7分钟
Python Lesson 2 - Coding valid data and recoding values6分钟
Python Lesson 3 - Creating secondary variables8分钟
Python Lesson 4 - Grouping values within individual variables3分钟
Reading3 个阅读材料
Program for Video Examples10分钟
Codebook for Video Examples10分钟
Assignment Sample10分钟
4
完成时间(小时)
完成时间为 4 小时

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 个视频 (总计 107 分钟), 4 个阅读材料, 1 个测验
Video12 个视频
SAS Lesson 2 - Describing distributions visually7分钟
SAS Lesson 3 - Measures of center and spread11分钟
SAS Lesson 4 - Designing the role each of your variables will play5分钟
SAS Lesson 5 - Graphing decisions: categorical response variables13分钟
SAS Lesson 6 - Graphing decisions: quantitative response variable9分钟
Python Lesson 1 - Graphing individual variables6分钟
Python Lesson 2 - Describing distributions visually7分钟
Python Lesson 3 - Measures of Center and Spread11分钟
Python Lesson 4 - Designing the role each of your variables will play5分钟
Python Lesson 5 - Graphing Decisions: Categorical response variables14分钟
Python Lesson 6 - Graphing decisions: quantitative response variable9分钟
Reading4 个阅读材料
Graphing Decisions Flowchart10分钟
Programs for Video Examples10分钟
Codebooks for Video Examples10分钟
Assignment Sample10分钟
完成时间(小时)
完成时间为 1 小时

Supplemental Materials (All Weeks)

...
Reading
3 个阅读材料
Reading3 个阅读材料
How to Write a Literature Review10分钟
Translation Code10分钟
Acknowledgments10分钟
4.4
185 个审阅Chevron Right
职业方向

38%

完成这些课程后已开始新的职业生涯
工作福利

36%

通过此课程获得实实在在的工作福利

热门审阅

创建者 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.

创建者 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.

讲师

Avatar

Lisa Dierker

Professor
Psychology

关于 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. ...

关于 Data Analysis and Interpretation 专项课程

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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