For motivated students who can learn on their own, here's an option that I would like to offer: the possibility to become an expert data scientist in less than six months, for a cost well below $10,000, and with guaranteed job opportunities.
The program would be open to everyone without screening, but the degree and the guaranteed jobs would be offered only to students with a successful completion of selected projects. If you don't succeed, you don't pay.
The program would contain three parts:
Part I: Online training:
20-pages booklet containing all the info you need to jump-start your data science career, written in simple English:
Part II: Potential projects to be completed:
Part III: Students successfully completing two projects
How to enroll?
If interested, join our Data Science Apprenticeship group to receive updates about our program and schedule, and to receive an invitation to participate as well as free training material, when the program is open.
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Please check out our most recent update to access additional material. Our 20-page booklet has been called the "data science cheat sheet", and a preliminary version is now available. I'm in the process of adding more material. I will post an update by Monday April 21.
I bought the book and completed 3 chapters. It's Interesting!!!
Where can I download 20 pages booklet?
I'm really interested in this project. I hope to read you back soon when it will start.
I'm interested please let me know how to enroll and start the training in Data Science as this is right fit for me to enhance my skills in this area as I have over a decade of experience and based at NJ, US.
Is the booklet mentioned in part 1 above available?
I have an interesting project that I have been trying to move forward for sometime, I want to, and have been collecting messages from twitter that match ticker symbols. I have over 1 million messages collected over a long time frame. I want to see if there is correlation between them and securities price movements.
@Fahad: The maths/stats needed are different and more applied than those required to attend a traditional stats curriculum. Emphasis is on algorithms, much less on math modeling: there won't be any advanced calculus such as eigenvalues, singular value decomposition, generalized inverse matrix, differential equations, orthogonal polynomials, generating functions or integrals.
Very quick question Dr. Vincent.
Is or will there be in the future, a good dose of calculus based statistics and mathematics beyond the 3 semesters of Calculus become a requirement of the program?
I am asking because I do not know whether that much math is needed to become a data scientist?
Thank you very much for posting this and introducing this program!
Fahad
I would be very interested! How to?
Very Interested in this Dr. G
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