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Summary Topics in Mathematics of Data Science Lecture Note

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This is a file that contains information regarding topics in mathematics of data science lecture notes. This course explores visualization methodologies to conceive and represent systems and data, e.g., financial, media, economic, political, etc., with a particular focus on climate change data in this version of the course. Topics include basic methods for research, cleaning, and analysis of datasets, and creative methods of data presentation and storytelling. The course considers the emotional, aesthetic, ethical, and practical effects of different presentation methods as well as how to develop metrics for assessing impact. Coursework includes readings, visualization exercises, and a final project.

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1

Data Management Plans
& the DMPTool

,Data Management Services @ MIT Libraries 2

• Workshops/Webinars
• Web guide: http://libraries.mit.edu/data-management
• Individual consultations
▪ includes help with creating/reviewing data management plans

, Why a DMP? Why data management? 3

● Meet funder requirements

○ DMPs required within grant applications

○ Researchers required to share data collected

● Saves time and prevents data loss

● Makes it easy to share data later, increasing research impact

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Uploaded on: February 25, 2023
Number of pages: 18
Written in: 2022/2023
Type: SUMMARY

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topics in mathematics of data science lecture note

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Summary Topics in Mathematics of Data Science Lecture Note

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