“Advanced Data Science And Analytics” is finished!

It has been a few months of writing, testing, re-writing and starting again, and I am pleased to say that the first complete draft of “Advanced Data Science and Analytics with Python” is ready. Last chapter is done and starting revisions now. Yay!

“Data Science and Analytics with Python” is published

Very pleased to see that finally the publication of my “Data Science and Analytics with Python” book has arrived.

You can get your copy here:

Furthermore you can see my Author profile here.

Final version of “Data Science and Analytics with Python” approved

It has been a long road, one filled with unicorns and Jackalopes, decision trees and random forests, variance and bias, cats and dogs, and targets and features.

Well over a year ago, the idea of writing another book seemed like a farfetched proposition. Writing the book came about from the work that I have been doing in the area as well as from discussions with my colleagues and students, including also practitioners and beneficiaries of data science and analytics.

It is my sincere hope that the book is useful to those coming afresh to this new field as well as to those more seasoned data scientists.

This afternoon I had the pleasure of approving the final version of the book that will be sent to the printers in the next few days.

Once the book is available you can get a copy directly with CRC Press or from Amazon.



Data Science and Analytics with Python – Proofread Manuscript

I have now received comments and corrections for the proofreading of my “Data Science and Analytics with Python” book.

Two weeks and counting to return corrections and comments back to the editor and project manager.


First full draft of “Data Science and Analytics with Python”

It has been nearly 12 months in development almost to the day, and I am very please to tell you that the first full draft of my new book entitled “Data Science and Analytics with Python” is ready.

Data Analytics Python

The book is aimed at data enthusiasts and professionals with some knowledge of programming principles as well as developers and business people interested in learning more about data science and analytics The proposed table of contents is as follows:

  1. The Trials and Tribulations of a Data Scientist
  2. Firsts Slithers with Python
  3. The Machine that Goes “Ping”: Machine Learning and Pattern Recognition
  4. The Relationship Conundrum: Regression
  5. Jackalopes and Hares, Unicorns and Horses: Clustering and Classification
  6. Decisions, Decisions: Hierarchical Clustering, Decision Trees and Ensemble Techniques
  7. Dimensionality Reduction and Support Vector Machines

At the moment the book contains 53 figures and 18 tables, plus plenty of bits and pieces of code ready to be tried.

The next step is to start the re-reading, re-draftings and revisions in preparation for the final version and submission to my publisher CRC Press later in the year. I will keep you posted as how things go.

Keep in touch!


The physical book! Essential MATLAB and Octave

It has been a long wait, but finally today I got my hands on the physical version of my book. So pleased.

It is available from the publishers

Also in Amazon:
http://www.amazon.co.uk/gp/aw/d/1482234637/ref=redir_mdp_mobile/280-5584446-9196231Essential Matlab and Octave Book