課程信息
24,247 次近期查看

第 1 門課程(共 5 門)

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

根據您的日程表重置截止日期。

完成時間大約為17 小時

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

英語(English)

字幕:英語(English), 韓語

您將獲得的技能

SAS LanguageData AnalysisPython ProgrammingData Management

第 1 門課程(共 5 門)

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

根據您的日程表重置截止日期。

完成時間大約為17 小時

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

英語(English)

字幕:英語(English), 韓語

學習Course的學生是

  • Data Analysts
  • Economists
  • Business Analysts
  • Data Scientists
  • Operations Analysts

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 4 小時

Selecting a research question

5 個視頻 (總計 31 分鐘), 6 個閱讀材料, 1 個測驗
5 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
6 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
完成時間為 4 小時

Writing your first program - SAS or Python

8 個視頻 (總計 59 分鐘), 7 個閱讀材料, 1 個測驗
8 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
7 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
完成時間為 3 小時

Managing Data

8 個視頻 (總計 45 分鐘), 3 個閱讀材料, 1 個測驗
8 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
3 個閱讀材料
Program for Video Examples10分鐘
Codebook for Video Examples10分鐘
Assignment Sample10分鐘
4
完成時間為 4 小時

Visualizing Data

12 個視頻 (總計 107 分鐘), 4 個閱讀材料, 1 個測驗
12 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
4 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
完成時間為 1 小時

Supplemental Materials (All Weeks)

3 個閱讀材料
3 個閱讀材料
How to Write a Literature Review10分鐘
Translation Code10分鐘
Acknowledgments10分鐘
4.4
195 個審閱Chevron Right

47%

完成這些課程後已開始新的職業生涯

38%

通過此課程獲得實實在在的工作福利

來自数据管理与可视化的熱門評論

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.

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.

講師

Avatar

Lisa Dierker

Professor
Psychology

關於 卫斯连大学

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 数据分析和解释 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....
数据分析和解释

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