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29%

가 이 강좌를 수료한 후 새로운 커리어를 시작함

36%

가 이 강좌를 통해 확실한 경력상 이점을 얻음

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가 급여 인상 또는 승진 성취
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다음 특화 과정의 5개 강좌 중 4번째 강좌:
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Data AnalysisPython ProgrammingMachine LearningExploratory Data Analysis

학습자 경력 결과

29%

가 이 강좌를 수료한 후 새로운 커리어를 시작함

36%

가 이 강좌를 통해 확실한 경력상 이점을 얻음

17%

가 급여 인상 또는 승진 성취
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 5개 강좌 중 4번째 강좌:
유동적 마감일
일정에 따라 마감일을 재설정합니다.
완료하는 데 약 14시간 필요
영어
자막: 영어

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강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 5시간 필요

Decision Trees

완료하는 데 5시간 필요
7개 동영상 (총 40분), 15 개의 읽기 자료, 1 개의 테스트
7개의 동영상
Machine Learning and the Bias Variance Trade-Off6m
What Is a Decision Tree?5m
What is the Process of Growing a Decision Tree?4m
Building a Decision Tree with SAS9m
Strengths and Weaknesses of Decision Trees in SAS4m
Building a Decision Tree with Python9m
15개의 읽기 자료
Some Guidance for Learners New to the Specialization10m
SAS or Python - Which to Choose?10m
Getting Started with SAS10m
Getting Started with Python10m
Course Codebooks10m
Course Data Sets10m
Uploading Your Own Data to SAS10m
Data Set for Decision Tree Videos (tree_addhealth.csv)10m
SAS Code: Decision Trees10m
CART Paper - Prevention Science10m
Python Code: Decision Trees10m
Installing Graphviz and pydotplus10m
Getting Set up for Assignments10m
Tumblr Instructions10m
Assignment Example10m
2

2

완료하는 데 3시간 필요

Random Forests

완료하는 데 3시간 필요
4개 동영상 (총 25분), 4 개의 읽기 자료, 1 개의 테스트
4개의 동영상
Building a Random Forest with SAS7m
Building a Random Forest with Python6m
Validation and Cross-Validation7m
4개의 읽기 자료
SAS code: Random Forests10m
The HPForest Procedure in SAS10m
Python Code: Random Forests10m
Assignment Example10m
3

3

완료하는 데 3시간 필요

Lasso Regression

완료하는 데 3시간 필요
5개 동영상 (총 32분), 3 개의 읽기 자료, 1 개의 테스트
5개의 동영상
Testing a Lasso Regression with SAS10m
Data Management for Lasso Regression in Python3m
Testing a Lasso Regression Model in Python10m
Lasso Regression Limitations2m
3개의 읽기 자료
SAS Code: Lasso Regression10m
Python Code: Lasso Regression10m
Assignment Example10m
4

4

완료하는 데 3시간 필요

K-Means Cluster Analysis

완료하는 데 3시간 필요
6개 동영상 (총 42분), 3 개의 읽기 자료, 1 개의 테스트
6개의 동영상
Running a k-Means Cluster Analysis in SAS, pt. 18m
Running a k-Means Cluster Analysis in SAS, pt. 26m
Running a k-Means Cluster Analysis in Python, pt. 18m
Running a k-Means Cluster Analysis in Python, pt. 210m
k-Means Cluster Analysis Limitations2m
3개의 읽기 자료
SAS Code: k-Means Cluster Analysis10m
Python Code: k-Means Cluster Analysis10m
Assignment Example10m

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Data Analysis and Interpretation 특화 과정 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

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