Lecture 38
Conclusion
DATA 8
Spring 2020
Announcements
Data Science
Why Data Science
Limitations of Data Science
How to Analyze Data
Begin with a question from some domain, make reasonable assumptions about the data and a choice of methods.
Visualize, then quantify!
Perhaps the most important part: Interpretation of the results in the language of the domain, without statistical jargon.
How Not to Analyze Data
Begin with a question from some domain, make reasonable assumptions about the data and a choice of methods.
Visualize, then quantify!
Perhaps the most important part: Interpretation of the results in the language of the domain, without statistical jargon.
How to Analyze Data after Data 8
Begin with a question from some domain, make reasonable assumptions about the data and a choice of methods.
Visualize, then quantify! Do both using computation.
Perhaps the most important part: Interpretation of the results in the language of the domain, without statistical jargon.
The Design of Data 8
Using Data Science to Understand COVID-19
COVID-19: Remdesivir
COVID-19: Remdesivir
COVID-19: Santa Clara County
COVID-19: Santa Clara County
COVID-19: Santa Clara County
COVID-19: Santa Clara County
Variance of a sample proportion
COVID-19: Santa Clara County
COVID-19: Nicotine and causality
A Request
Please fill out the course evaluations!
What's Next?
Guest Presentations
data.berkeley.edu
Spring 2020
Student Opportunities
Fall 2020 Connectors
25
STAT 88
Prob and Stats in Data Science
UGBA 88
Data and Decision
PHYSICS 88
Data Science Applications in Physics
COMPSCI 88
Computational Structures
DATA 88-3
Economic Models
EPS 88
PyEarth: A Python Introduction to Earth Science
Data Scholars
26
For students who are
Foundations
Concurrent to Data 8
Pathways
Further technical
skill & career development
Discovery
Support for research
experiences
Data Scholars serves these populations to support diversity in the Data Science student community all the way through.
DSEP Student Teams
27
Peer Consulting
Hone your skills as an educator and data scientist by working with the Data Science Education Program
Help fellow undergrads with data research, academic work, and data science technology.
External Pedagogy
Create a national community of practice for institutions to work with and learn from each other.
Online
Learning
Help deliver Data 8 instruction via online cloud based instruction
DSEP Student Teams
28
Hone your skills as an educator and data scientist by working with the Data Science Education Program
DSEP Student Teams
29
Connector
Assistants
Modules
Hone your skills as an educator and data scientist by working with the Data Science Education Program
Help instructors of Data Science Connector courses deliver and teach material.
Create curriculum materials for Connectors, Data-Enabled Courses, or short explorations into DS (modules).
Human Context and Ethics
Integrate critical thinking about ethical issues in relation to technology into the Berkeley data science program and community.
Discovery Student Researchers
30
30
Be a student researcher in a program that connects students with hands-on data science research- non-profits, start-ups, institutions, etc. Students from underrepresented minority groups and first-time researchers receive priority.
Data Science Peer Advising
31
Peer Advisors share their diverse knowledge of and experiences with:
Peer Advisors work closely with the Data Science Advising Team and gain exposure to the ins-and-outs of a new and increasingly popular interdisciplinary major.
How to Apply
32
For more information,
check out our website at
Applications will re-open in July
The Team
Staff
Thank you!