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University of San Francisco
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Data Institute Certificate Application
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Certificate Selection
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Deep Learning Part I
Deep Learning Part II
Exploratory Data Analysis Using R
Fundamentals of Deep Learning using PyTorch
Intro to Data Ethics
Introduction to Machine Learning
Machine Learning for Business
SQL for Data Analysis
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Fundamentals of Deep Learning will be offered in Fall 2020.
Please complete our
Inquiry Form
to be notified when enrollment opens.
The SQL for Data Analysis will be offered from March 16 - April 27, 2020 in San Francisco.
Machine Learning for Business is not scheduled for Spring 2020.
Please complete our
Inquiry Form
to be notified when enrollment opens.
Deep Learning Part I will be offered from March 17 - May 5, 2020 in San Francisco.
Intro to Data Ethics is no longer accepting applications for Spring 2020.
Please complete our
Inquiry Form
to be notified when enrollment opens.
Deep Learning Part II is not scheduled for 2020.
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Inquiry Form
to be notified when enrollment opens.
Exploratory Data Analysis Using R is not currently scheduled.
Please complete our
Inquiry Form
to be notified when enrollment opens.
Introduction to Machine Learning is not currently scheduled.
Please complete our
Inquiry Form
to be notified when enrollment opens.
Fundamentals of Deep Learning, previous experience programming in Python and some machine learning background is advised to make best use of the course. Click here to indicate you have previous experience in Python and some machine learning experience.
Yes
For Deep Learning Part I, we require students to have one of the following prerequisites or prior experience. Please indicate which option you have satisfied.
1+ years working in a coding-based position
2+ years studying computer science at the university level
Completion of a data science or programming boot camp plus 6+ months work experience
Significant open source coding experience for 1+ years
For Deep Learning Part II, we require students to have familiarity with Python, git, and bash as well as familiarity with the content covered in Deep Learning Part 1, version 2, including the fastai library, a high-level wrapper for PyTorch.
Deep Learning MOOC - Fast AI
Deep Learning Part I at the Data Institute
The Data Institute offers Diversity Fellowships for certificate courses and we ask that applicants submit a resume and a statement of purpose that describes how you meet the eligibility requirements for the Diversity Fellowship. Diversity Fellows should be an underrepresented group in the field of Data Science.
Are you applying for a Diversity Fellowship?
Yes
No
The application deadline for a Deep Learning Diversity Fellowship is January 31, 2020 at 12pm noon PST.
The requirements to apply for a Deep Learning Diversity Fellowship are:
- At least 1 year of coding experience (the course is taught in Python)
- At least 8 hours a week to commit to the course (includes time for homework)
- Curiosity and a willingness to work hard
- Identify as a woman, person of Color, LGBTQ person, person with a disability, and/or veteran
- Be available to attend in-person 6:30-9pm in downtown San Francisco (SOMA), one evening per week (exact schedule found
here
under details)
Your statement should include:
- 1 paragraph describing one or more problems you’d like to apply deep learning to
- 1 paragraph describing previous machine learning education or experience (e.g. fast.ai courses, Coursera, deeplearning.ai)
- Which under-indexed group(s) you are a part of (gender, race, sexual identity, veteran)
Which under-indexed group do you identify with?
Diversity Fellowship Resume Upload
Diversity Fellowship Statement of Purpose Upload
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