MIT 15.071 The Analytics Edge, Spring 2017 1.4.1 Welcome to Recitation 1 - Understanding Food: Nutritional Education with Data
1.4.1 Welcome to Recitation 1 - Understanding Food: Nutritional Education with Data Transcript and Lesson Notes
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef YouTube playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61Q_FSXJUGkDJs1SMj5teGq Ove
Quick Summary
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef YouTube playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61Q_FSXJUGkDJs1SMj5teGq Ove
Key Takeaways
- Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef YouTube playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61Q_FSXJUGkDJs1SMj5teGq Ove
- Understand how R statistical software fits into 1.4.1 Welcome to Recitation 1 - Understanding Food: Nutritional Education with Data.
Key Concepts
Full Transcript
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef YouTube playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61Q_FSXJUGkDJs1SMj5teGq Overview of the recitation videos on nutritional education with data. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu
Lesson FAQs
What is 1.4.1 Welcome to Recitation 1 - Understanding Food: Nutritional Education with Data about?
MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef YouTube playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP61Q_FSXJUGkDJs1SMj5teGq Ove
What key concepts are covered in this lesson?
The lesson covers R statistical software.
What should I learn before 1.4.1 Welcome to Recitation 1 - Understanding Food: Nutritional Education with Data?
Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.
How can I practice after this lesson?
Practice by applying the main concepts: R statistical software.
Does this lesson include a transcript?
Yes. The full transcript is visible on this page in indexable HTML sections.
Is this lesson free?
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