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!

DSC Resources

Additional Reading

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Replies to This Discussion

Dear Prof. Granville,

I am interested in joining the course. I did my MSc and PhD in mathematics from the University of Goettingen, Germany.

I have been working as a research associate at the same university. This course will certainly be useful in my career.

The link of my LinkedIn profile is http://de.linkedin.com/pub/dr-shariful-islam/25/62b/b24

I hope you would give me this unique opportunity to join the course.

Thank you very much for your atention

Kind regards,


Got my copy today...

Received mine as well.


I am interested in joining the Data Apprenticeship Course.

I have a Master degree in Mathematics in IT and a post-graduate degree in Financial and Banking technics. I have more than 10 years of experience as Project Manager with business and IT teams in PricewaterhouseCoopers, HSBC, Altran and BNP Paribas.

My objective today is to gain more inside theoretical and practical knowledge in Data Managent in order to be able to specialize later on developing and implementing Big Data solutions.

I will be happy to provide more details as needed.

My LinkedIn link :http://www.linkedin.com/profile/view?id=7521816&trk=spm_pic

Data Science Central link : http://www.linkedin.com/groups?homeNewMember=&gid=4989164&t... 

I am looking forward to hearing from you.

Alexandar Kirov

Professor Granville,

I am interested in signing up for the apprenticeship program. I completed my Bachelors degree from BITS-Pilani, India. I am currently pursuing my Masters in Electrical Engineering from Drexel University, Philadelphia. 

My Linkedin profile is:  www.linkedin.com/in/nareshrajendra/

Best Regards

Naresh R Shah

Has anyone heard a response back to their email inquiry about apprenticeship acceptance?

I am preparing a response to be sent tomorrow. There were a lot of interest by many, many great candidate's.

Dear V Granville,

I am interested  in pursuing this certification and enclosed is my profile. I have a degree in Computer science




Hello Dr. Granville,
Just checking if you got my initial email with regard to the Data Apprenticeship Course. I'm very much interested and hopefully gets considered to join. BTW, I already have your book and ready to use it in action.
This will definitely help me move forward to the role I aspire to be.
Thank you,
Michael Louie Eusebio

Hello Granville,

I am Ashok and I am interested in joining the Data Science course. I did my Masters in Finance at University of Minnesota Twin Cities. I work in the Health Care Medicare and Medicaid programs to identify risk score for Medicare and Medicaid patients. I would like to use the techniques that I learn here at my work place to achieve better results. 

My linkedin profile : https://www.linkedin.com/profile/view?id=86239170&trk=nav_respo...

I look forward to learning Data Science, if I am given this unique opportunity to join your Data Science Apprenticeship program.

Thank you for your time and consideration.


Ashok Nadimpalli.

Hi Dr Granville,

Wiley in Australia has just shipped my copy of your book.  Just getting started after such a long wait....

regards, Chris

I am hadoop / big data developer. i am  very interested to this course.currently i am enrolled with coursera.I look forward to learning Data Science, if I am given this unique opportunity to join your Data Science Apprenticeship program.


sravan k.


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