课程信息
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第 4 门课程(共 5 门)

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

根据您的日程表重置截止日期。

完成时间大约为12 小时

建议:3 hours/week...

英语(English)

字幕:英语(English)

您将获得的技能

Data AnalysisPython ProgrammingMachine LearningExploratory Data Analysis

第 4 门课程(共 5 门)

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

根据您的日程表重置截止日期。

完成时间大约为12 小时

建议:3 hours/week...

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 5 小时

Decision Trees

7 个视频 (总计 40 分钟), 15 个阅读材料, 1 个测验
7 个视频
Machine Learning and the Bias Variance Trade-Off6分钟
What Is a Decision Tree?5分钟
What is the Process of Growing a Decision Tree?4分钟
Building a Decision Tree with SAS9分钟
Strengths and Weaknesses of Decision Trees in SAS4分钟
Building a Decision Tree with Python9分钟
15 个阅读材料
Some Guidance for Learners New to the Specialization10分钟
SAS or Python - Which to Choose?10分钟
Getting Started with SAS10分钟
Getting Started with Python10分钟
Course Codebooks10分钟
Course Data Sets10分钟
Uploading Your Own Data to SAS10分钟
Data Set for Decision Tree Videos (tree_addhealth.csv)10分钟
SAS Code: Decision Trees10分钟
CART Paper - Prevention Science10分钟
Python Code: Decision Trees10分钟
Installing Graphviz and pydotplus10分钟
Getting Set up for Assignments10分钟
Tumblr Instructions10分钟
Assignment Example10分钟
2
完成时间为 3 小时

Random Forests

4 个视频 (总计 25 分钟), 4 个阅读材料, 1 个测验
4 个视频
Building a Random Forest with SAS7分钟
Building a Random Forest with Python6分钟
Validation and Cross-Validation7分钟
4 个阅读材料
SAS code: Random Forests10分钟
The HPForest Procedure in SAS10分钟
Python Code: Random Forests10分钟
Assignment Example10分钟
3
完成时间为 3 小时

Lasso Regression

5 个视频 (总计 32 分钟), 3 个阅读材料, 1 个测验
5 个视频
Testing a Lasso Regression with SAS10分钟
Data Management for Lasso Regression in Python3分钟
Testing a Lasso Regression Model in Python10分钟
Lasso Regression Limitations2分钟
3 个阅读材料
SAS Code: Lasso Regression10分钟
Python Code: Lasso Regression10分钟
Assignment Example10分钟
4
完成时间为 3 小时

K-Means Cluster Analysis

6 个视频 (总计 42 分钟), 3 个阅读材料, 1 个测验
6 个视频
Running a k-Means Cluster Analysis in SAS, pt. 18分钟
Running a k-Means Cluster Analysis in SAS, pt. 26分钟
Running a k-Means Cluster Analysis in Python, pt. 18分钟
Running a k-Means Cluster Analysis in Python, pt. 210分钟
k-Means Cluster Analysis Limitations2分钟
3 个阅读材料
SAS Code: k-Means Cluster Analysis10分钟
Python Code: k-Means Cluster Analysis10分钟
Assignment Example10分钟
4.2
50 个审阅Chevron Right

29%

完成这些课程后已开始新的职业生涯

36%

通过此课程获得实实在在的工作福利

17%

加薪或升职

来自使用机器学习进行数据分析的热门评论

创建者 BCOct 5th 2016

Very good course. I recommend to anyone who's interested in data analysis and machine learning.

创建者 EMJun 26th 2016

Good introduction with python example for famous algorithm such as random forest and k-mean

讲师

Avatar

Jen Rose

Research Professor
Psychology
Avatar

Lisa Dierker

Professor
Psychology

关于 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. ...

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....
数据分析和解释

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