Data Institute Certificate Application

Certificate Selection

Which Certificate?

Available Term

Applied Machine Learning is not currently scheduled. Please complete our Inquiry Form to be notified when enrollment opens.

Data Science for Marketing is currently in session and we are no longer accepting applications. Please complete our Inquiry Form to be notified when enrollment opens.

Deep Learning Part I is not currently scheduled. Please complete our Inquiry Form to be notified when enrollment opens.

Deep Learning Part II is not currently scheduled. Please complete our Inquiry Form to be notified when enrollment opens.

Exploratory Data Analysis is not currently scheduled. Please complete our Inquiry Form to be notified when enrollment opens.

Fundamentals of Deep Learning was last held in Fall 2021. Please complete our Inquiry Form to be notified when enrollment opens for the next session.

Intro to Data Ethics is currently in session and we are not accepting new applications. Please complete our Inquiry Form to be notified when enrollment opens.

Introduction to Machine Learning is currently in session and we are no longer accepting applications. Please complete our Inquiry Form to be notified when enrollment opens.

Machine Learning for Business is not scheduled for the upcoming academic year. Please complete our Inquiry Form to be notified when enrollment opens.

Pandas for Data Analysis is scheduled for November 1 - December 20, 2023 (no class November 22). Please select Fall 2023 from the dropdown and complete the application to enroll.

Python for Data Analysis Online is scheduled September 12 - October 24, 2023. Please select Fall 2023 from the dropdown and complete the application to enroll.

SQL for Data Analysis Online is currently in session and we are no longer accepting applications. Please complete our Inquiry Form to be notified when enrollment opens.

Do you intend to participate in the Introduction to Data Science Certificate Series? This four-part series is comprised of SQL for Data Analysis, Python for Data Analysis, Intro to Machine Learning, and an elective of your choice. More information about the program can be found here.

Yes, I intend to participate in the Introduction to Data Science Certificate Series.

No, I plan to enroll in a standalone course.

For 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

No

For Introduction to Machine Learning, participants are expected to be familiar with the topics covered in Python for Data Analysis. Click here to indicate you have previous experience in Python.

Yes

No

For Applied Machine Learning, participants are expected to be familiar with the topics covered in Python for Data Analysis and Introduction to Machine Learning. Click here to indicate you have previous experience in these topics.

Yes

No

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

Personal Information

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First Name

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What is your country of Citizenship?

Are you a permanent resident of the United States?

Additional Information

Are you a student, employee or alumni of USF?

Yes

No

Are you currently serving or have you ever served in the U.S. military?

Yes

No

Device type

Current Employer

Do you plan to seek employer reimbursement for the course tuition?

No, I will not be reimbursed by my employer.

Yes, my employer offers full reimbursement.

Yes, my employer offers partial reimbursement.

How did you hear about this program?

Other:

Emergency Contact

USF collects Emergency Contact Information for anyone who may regularly be on campus, so that we have information on hand in case of emergency.

Emergency Contact First Name

Emergency Contact Last Name

Emergency Contact's Evening Phone Number

Emergency Contact Relationship to You

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