課程信息

23,516 次近期查看

學生職業成果

29%

完成這些課程後已開始新的職業生涯

36%

通過此課程獲得實實在在的工作福利

17%

加薪或升職
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
第 4 門課程(共 5 門)
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14 小時
英語(English)
字幕:英語(English)

您將獲得的技能

Data AnalysisPython ProgrammingMachine LearningExploratory Data Analysis

學生職業成果

29%

完成這些課程後已開始新的職業生涯

36%

通過此課程獲得實實在在的工作福利

17%

加薪或升職
可分享的證書
完成後獲得證書
100% 在線
立即開始,按照自己的計劃學習。
第 4 門課程(共 5 門)
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14 小時
英語(English)
字幕:英語(English)

提供方

卫斯连大学 徽標

卫斯连大学

教學大綱 - 您將從這門課程中學到什麼

1

1

完成時間為 5 小時

Decision Trees

完成時間為 5 小時
7 個視頻 (總計 40 分鐘), 15 個閱讀材料, 1 個測驗
7 個視頻
Machine Learning and the Bias Variance Trade-Off6分鐘
What Is a Decision Tree?5分鐘
What is the Process of Growing a Decision Tree?4分鐘
Building a Decision Tree with SAS9分鐘
Strengths and Weaknesses of Decision Trees in SAS4分鐘
Building a Decision Tree with Python9分鐘
15 個閱讀材料
Some Guidance for Learners New to the Specialization10分鐘
SAS or Python - Which to Choose?10分鐘
Getting Started with SAS10分鐘
Getting Started with Python10分鐘
Course Codebooks10分鐘
Course Data Sets10分鐘
Uploading Your Own Data to SAS10分鐘
Data Set for Decision Tree Videos (tree_addhealth.csv)10分鐘
SAS Code: Decision Trees10分鐘
CART Paper - Prevention Science10分鐘
Python Code: Decision Trees10分鐘
Installing Graphviz and pydotplus10分鐘
Getting Set up for Assignments10分鐘
Tumblr Instructions10分鐘
Assignment Example10分鐘
2

2

完成時間為 3 小時

Random Forests

完成時間為 3 小時
4 個視頻 (總計 25 分鐘), 4 個閱讀材料, 1 個測驗
4 個視頻
Building a Random Forest with SAS7分鐘
Building a Random Forest with Python6分鐘
Validation and Cross-Validation7分鐘
4 個閱讀材料
SAS code: Random Forests10分鐘
The HPForest Procedure in SAS10分鐘
Python Code: Random Forests10分鐘
Assignment Example10分鐘
3

3

完成時間為 3 小時

Lasso Regression

完成時間為 3 小時
5 個視頻 (總計 32 分鐘), 3 個閱讀材料, 1 個測驗
5 個視頻
Testing a Lasso Regression with SAS10分鐘
Data Management for Lasso Regression in Python3分鐘
Testing a Lasso Regression Model in Python10分鐘
Lasso Regression Limitations2分鐘
3 個閱讀材料
SAS Code: Lasso Regression10分鐘
Python Code: Lasso Regression10分鐘
Assignment Example10分鐘
4

4

完成時間為 3 小時

K-Means Cluster Analysis

完成時間為 3 小時
6 個視頻 (總計 42 分鐘), 3 個閱讀材料, 1 個測驗
6 個視頻
Running a k-Means Cluster Analysis in SAS, pt. 18分鐘
Running a k-Means Cluster Analysis in SAS, pt. 26分鐘
Running a k-Means Cluster Analysis in Python, pt. 18分鐘
Running a k-Means Cluster Analysis in Python, pt. 210分鐘
k-Means Cluster Analysis Limitations2分鐘
3 個閱讀材料
SAS Code: k-Means Cluster Analysis10分鐘
Python Code: k-Means Cluster Analysis10分鐘
Assignment Example10分鐘

審閱

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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

常見問題

  • Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:

    • The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.

    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.

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