Welcome {{hidden_email}}!

This form takes about 20 minutes. At the end, you'll have taken your first step to a new career in data science.

 
First Name *

 
Last Name *

 
Phone Number *

Please include your country code. In the US this will be +1.
 
When is your preferred start date? *

If neither of these dates work, pick one of them now and we can discuss other future dates with you.

 
What is your anticipated completion timeline for the course? *

The Data Science Career Track is a 275+ hour course. All students have 6 months total to complete the course, but can opt to complete in less time if desired.

 
While it is possible to complete in less time, most students need 6 months to complete the course, especially for full time professionals, students, or anyone who has responsibilities outside of the course. *

If you plan on completing the course in less time, you should:

1) Be proficient in Python and Statistics.
2) Be ready to put in more time per week to complete the curriculum material.
3) Be driven and disciplined with managing your study schedule.

 
What is the highest degree you have completed? If currently enrolled, highest degree received? *


 
Post your LinkedIn (preferred) or upload your resume (required)

 
LinkedIn URL (preferred)

 
Or upload your resume/CV

 
At the time of admission to the program, what is your eligibility to work in the US? *

*Please keep in mind, to be eligible for the Career Track job guarantee you need to have U.S. work authorization valid for at least 2 years after the program start date.

 
For purposes of this course, we define relevant professional experience as any combination of:

Analytics: 
Business analytics, BI, Risk or other kinds of analytical experience in a professional capacity
Programming: Coding or software development in any language in a professional capacity
Academic: PhD or Postdoctoral research in a science/engineering field at an accredited academic institution

Based on this definition, where would you place your level of relevant professional experience? *


 
Why do you want to be a data scientist? *

 
Can you share an example of a challenge you overcame through perseverance? *

 
Rate your overall programming skills and experience (select one): *

Programming experience includes working with all programming languages (example: Python, Scala, Java, and more).

 
For the following languages, rate your ability:

1 = None, 2 = Basic, 3 = Intermediate, 4 = Expert
 
Python *





 
R *





 
Any Object Oriented Language *





 
*nix command line *





 
Rate your overall skills and experience in statistics (select one): (look through edits for the answers) *


 
Tell us a little about yourself. The optional information you provide will help us identify opportunities to support you.

 
I self-identify as a woman pursuing data science.

     
 
I have served, or am currently serving in the United States military.

     
Thank you for filling out your application!
We'll get back to you within 2-3 business days!