課程信息

3,511 次近期查看

學生職業成果

50%

完成這些課程後已開始新的職業生涯

33%

通過此課程獲得實實在在的工作福利
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 5 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10 小時
英語(English)
字幕:英語(English), 德語(German)

學生職業成果

50%

完成這些課程後已開始新的職業生涯

33%

通過此課程獲得實實在在的工作福利
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 5 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10 小時
英語(English)
字幕:英語(English), 德語(German)

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 4 小時

Module 1. Identify Your Data and Research Question

完成時間為 4 小時
5 個視頻 (總計 17 分鐘), 9 個閱讀材料, 1 個測驗
5 個視頻
Overview of Each Module and Assignments3分鐘
Your Capstone Project3分鐘
Writing Your Report: Title and Introduction5分鐘
Writing Your Report: What to Avoid2分鐘
9 個閱讀材料
Read Me First10分鐘
Industry Partner: DRIVENDATA10分鐘
Industry Partner: The Connection10分鐘
About the Assignments10分鐘
Data Sets and Codebooks10分鐘
Creating a Final Report10分鐘
SAS and python code for sample final report10分鐘
SAS Data Sets10分鐘
Sample Final Report Data Set10分鐘
2

2

完成時間為 2 小時

Module 2. Data Management

完成時間為 2 小時
1 個視頻 (總計 8 分鐘)
1 個視頻
3

3

完成時間為 2 小時

Module 3. Exploratory Data Analysis

完成時間為 2 小時
1 個視頻 (總計 9 分鐘)
1 個視頻
4

4

完成時間為 2 小時

Complete Your Final Report

完成時間為 2 小時
1 個視頻 (總計 6 分鐘), 1 個閱讀材料, 1 個測驗
1 個閱讀材料
Final Assignment Grading Rubric10分鐘

審閱

來自数据分析与解释毕业项目的熱門評論

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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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