About this Course
최근 조회 17,140

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 17시간 필요

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

영어

자막: 영어, 한국어

귀하가 습득할 기술

SAS LanguageData AnalysisPython ProgrammingData Management

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 17시간 필요

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

영어

자막: 영어, 한국어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 4시간 필요

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...
5 videos (Total 31 min), 6 readings, 1 quiz
5개의 동영상
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
6개의 읽기 자료
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
2
완료하는 데 4시간 필요

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). ...
8 videos (Total 59 min), 7 readings, 1 quiz
8개의 동영상
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
7개의 읽기 자료
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
3
완료하는 데 3시간 필요

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. ...
8 videos (Total 45 min), 3 readings, 1 quiz
8개의 동영상
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
3개의 읽기 자료
Program for Video Examples10m
Codebook for Video Examples10m
Assignment Sample10m
4
완료하는 데 4시간 필요

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. ...
12 videos (Total 107 min), 4 readings, 1 quiz
12개의 동영상
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
4개의 읽기 자료
Graphing Decisions Flowchart10m
Programs for Video Examples10m
Codebooks for Video Examples10m
Assignment Sample10m
완료하는 데 1시간 필요

Supplemental Materials (All Weeks)

...
3 readings
3개의 읽기 자료
How to Write a Literature Review10m
Translation Code10m
Acknowledgments10m
4.4
193개의 리뷰Chevron Right

50%

이 강좌를 수료한 후 새로운 경력 시작하기

42%

이 강좌를 통해 확실한 경력상 이점 얻기

최상위 리뷰

대학: 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.

대학: 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.

강사

Avatar

Lisa Dierker

Professor
Psychology

웨슬리언 대학교 정보

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. ...

Data Analysis and Interpretation 전문 분야 정보

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

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.