• 221 Data Science and Scientific Computing using Julia

This course is an introduction to the Julia programming language. Julia is the fastest modern open-source language for data science, machine learning, and scientific computing. Julia provides the functionality, ease-of-use and intuitive syntax of R, Python, Matlab, SAS or Stata combined with the speed, capacity, and performance of C, C++ or Java. Julia also provides parallel and distributed computing capabilities out of the box, and unlimited scalability with minimal effort.

 

 

Date and Time:  https://hpedsi.uh.edu/education/training

 

UH Alumni Registration Fee: $250.00

 

Non-UH Affiliate Registration Fee: $250.00


For more information contact us at:
contact@hpedsi.uh.edu

 

** Non-UH affiliates and alumni registering for the HPE DSI classes MUST:

(1) complete the payment of the course fees ($250.00 per course) at least three(3) weeks before course commencement.

(2) inform HPE DSI of their interest in taking the course at least three(3) weeks before the course start date. This will allow adequate time for processing of your course access credentials before the first-class meeting.

 

Cancelation and Refund Policy

If you need to cancel a course for any reason, e-mail us at contact@hpedsi.uh.edu
** The following refund schedule applies:
If requesting cancellation in more than three weeks before start date, a cancellation fee of 10% of the total course or workshop cost applies.


If requesting cancellation in  less than three weeks before the start date, a 15% cancellation fee applies.
If requesting cancellation in less than one week before start date, a 25% cancellation fee applies.
If requesting cancellation in  48 hours or less before class start, No refund is available.

All deposits and payments made are nontransferable. The HPE DSI cannot provide refunds, transfer payments, or offer makeup sessions for classes a student might miss, for any reason. If the HPE DSI has to cancel a course/workshop, you will receive a full refund.

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221 Data Science and Scientific Computing using Julia

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