關於此 專項課程

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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.
學生職業成果
50%
完成此 專項課程 後開始了新的職業。
17%
加薪或升職。

可分享的證書

完成後獲得證書

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

完成時間大約為5 個月

建議 3 小時/週

英語(English)

字幕:英語(English), 韓語, 德語(German)
學生職業成果
50%
完成此 專項課程 後開始了新的職業。
17%
加薪或升職。

可分享的證書

完成後獲得證書

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

初級

完成時間大約為5 個月

建議 3 小時/週

英語(English)

字幕:英語(English), 韓語, 德語(German)

此專項課程包含 5 門課程

課程1

課程 1

数据管理与可视化

4.4
745 個評分
206 條評論
課程2

課程 2

数据分析工具

4.5
360 個評分
78 條評論
課程3

課程 3

回归建模实践

4.4
244 個評分
48 條評論
課程4

課程 4

使用机器学习进行数据分析

4.2
240 個評分
53 條評論

提供方

卫斯连大学 徽標

卫斯连大学

其中一位行業合作夥伴的徽標其中一位行業合作夥伴的徽標

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  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-7 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over. The Capstone Project will be offered four times per year on a recurring schedule.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will be able to access and manage data using either the Python or SAS programming language, explore patterns and associations among variables, and use machine learning methods to develop predictive algorithms. Additionally, you will have a portfolio of hands-on project work that demonstrates your ability to apply all of these methods to real-world situations.

  • You may choose to use either Python or SAS to complete the assignments. Both of these software packages are being made freely available.

  • This Specialization is appropriate for anyone interested in learning more about data analysis, including those new to the field. Some knowledge of basic programming and familiarity with linear algebra concepts may be helpful, but no specific background is required.

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