66,870 次近期查看

## 36%

### 您将获得的技能

SAS LanguageData AnalysisPython ProgrammingData Management

1

## Selecting a research question

5 个视频 （总计 31 分钟）, 6 个阅读材料, 1 个测验
5 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
6 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
2

## Writing your first program - SAS or Python

8 个视频 （总计 59 分钟）, 7 个阅读材料, 1 个测验
8 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
7 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
Assignment Sample10分钟
3

## Managing Data

8 个视频 （总计 45 分钟）, 3 个阅读材料, 1 个测验
8 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
3 个阅读材料
Program for Video Examples10分钟
Codebook for Video Examples10分钟
Assignment Sample10分钟
4

## Visualizing Data

12 个视频 （总计 107 分钟）, 4 个阅读材料, 1 个测验
12 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
4 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

## Supplemental Materials (All Weeks)

3 个阅读材料
3 个阅读材料
How to Write a Literature Review10分钟
Translation Code10分钟
Acknowledgments10分钟

## 关于 数据分析和解释 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....

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