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Updated on June 10, 2015, see our press release.

Our textbook is now published, new data sets and new tutorials added, and the data science cheat sheet is available in its final format.

Our program is for practitioners interested in real-life data science projects, to gain professional experience, knowledge and visibility in the data science community. 

So what does it mean for you and how to get started?

First, we remind you that this is still a program for self-learners, presenting original, core, modern, applied, useful pioneering data science material not found in traditional programs. It is basically free, besides the cost of purchasing our book. Student interested in formal training, in a well structured learning environment and/or face-to-face or frequent email interactions with professors, who need more support to learn, and/or who need an official diploma at the end, should check the university courses, programs and other training listed on DSC.

How to get started?

Read the steps required to complete the program (see below), and if you are still interested, proceed to step #1.

The program in 5 steps

  1. Obtain a copy of our data science 1.0 book (recommended but not mandatory - alternatively check out articles published by our data science research lab, and in our resource section), the book addendum, read our data science 2.0 book, and our data science cheat sheet.
  2. Select your data science project. We listed a number of potential data sets and projects to work on (as part of the apprenticeship) in a previous update. To check the list of currently available projects (to work on), click here
  3. Complete one of these real-life projects, email us your solution. You will then receive comments from us (possibly asking for a revision).
  4. Publish the following too items: (1) the solution to your project (including methodology, data and results), (2) how your project could be scaled (architecture details, distributed computing, faster algorithms, better crawling and potential problems/bottlenecks if working with big data; automation and maintenance). Publish these too items in one blog on Data Science Central, with subject line "My Data Science Apprenticeship Project".
  5. Great contributions will be featured (Dr. Vincent Granville review the submissions) and you can then expect to hear from hiring managers and other professionals interested in your talents. 

For additional resources, click here or here

That's it!

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Replies to This Discussion

Hello Dr. Granville,

Hope you are doing well.

I am very interested to join the Data Science apprenticeship program. I have 8 years of experience with Business Intelligence and related tools in addition I have a master's degree in Electrical Engineering from Texas Tech University.

My complete profile: https://in.linkedin.com/in/bikashdebnath

Thank you and hope for your kind consideration.

Regards,

Bikash Debnath

Dr. Granville,

Are you still doing this?  Thank you for your time.

Kindest Regards,

K.Robb Hensley

Hi Dr. Vincent Granville,

Is this apprenticeship still going on now?

Thanks,

Feng Li

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