Project Botticelli

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New Course: The Future Series

I am happy to announce that we have just launched our new video course: The Future Series (2019). It focuses on our, that is Chris Webb’s and mine, Rafal Lukawiecki’s, view of the future of the technologies related to AI, BI, data science, machine learning, data and knowledge mining—basically, the areas that we have specialised for a long time. We aimed it at IT decision makers and those interested in the technologies’ future, its risks and rewards.

  • 21 March 2019
  • 234 views

We are Microsoft Preferred Data & AI Partner

Project Botticelli Microsoft Preferred Data and AI Training Partner

We have just updated our course offering on the Microsoft Learn AI and Analytics portal. Project Botticelli have been Microsoft Preferred Data & AI Partners for about a year, and regular partners for several years now. I am very grateful for this recognition because it makes us more visible to those who use Microsoft excellent data technologies, notably SQL Server and SQL Azure, and who would like to pick up new skills in data science, machine learning, and of coursee in AI. If you were curious about the R- and Python-based Microsoft ML Server, have a look at the courses.

  • 25 February 2019
  • 240 views

New video player with playback speed control

New video playback rate controls

We have just upgraded our online video player! It supports all major browsers across all major devices. Further, you can speed up or slow down playback, something that has been requested many times in the past. Read more why we have made those changes and how they relate to protecting your data.

Credit cards are now fully accepted

I am pleased to announce that you can make credit card payments directly on our site, without having to go through the PayPal process. This was a frequent request from some of our customers, who prefer a simpler and a more direct way of paying.

  • 14 December 2017
  • 216 views

Recordings on AI and Data Science from Ignite 2017

My three sessions from Ignite 2017 in Orlando are available from their web site. They did well in the rankings, which I suppose tells me that the audience found them relevant. The overview of practical data science for the DBA, related to my live courses, ended up being in the top 3 of data track sessions of the conference, based on the information that was shared with me. Read more.

  • 5 December 2017
  • 709 views

Mastering DAX Workshop Available Now

Alberto Ferrari and Marco Russo are the undisputed authorities on Data Analysis Expressions—DAX—the language of tabular modelling, Power Pivot, and Power BI. They have written books on it and they have been teaching a very successful live and online class for several years. I am glad that they have agreed to offer their 10+ hour video workshop, together with 8+ hours of labs, and some 700M worth of exercise data on projectbotticelli.com.

  • 26 November 2017
  • 253 views

New Power BI Course from Chris on our New Web Site!

Following 9+ months of development and engineering, I am happy to say that we have a new online training web site! We launched it this morning. It has a brand-new, super-geeked-out backend, a fresh and a clean front, and, above all, more ways for you to stay focused while you study advanced analytics and data science with us. To celebrate the occasion, we are launching Chris Webb’s newest course, today.

  • 24 November 2017
  • 427 views

Speaking at Ignite 2017

Microsoft Ignite 2017

I will be presenting three sessions in Orlando, FL, at this year’s Microsoft Ignite conference. If you are going, please meet me—it is always a pleasure to chat with my customers, both online and offline ones.

New machine learning sample code and data set published

While delivering my Practical Data Science course to over 300 new data scientists over the last year-and-a-half, I have been updating and improving (I hope) some of the key demos that I use for teaching. As I have been often asked to share it with the attendees, I decided to make it available more broadly. I have just uploaded the code for: performing classification diagnostics and plotting classifier performance using R, sample DMX that shows how to correctly query an association rules model to make cross-sell predictions with and without demographic (user-level) data, and an example in SQL Server R Services that shows the four different ways how to analyse a 10 million row data set, containing mortgage default risk information, using logistic regression. Click here to read more.

What Should Be Your First Data Science Project?

I am very often asked to recommend how to get started in data science, especially what should be that best first project. Actually, it is quite clear: have a business goal, start easy, do not aim too high at first, and avoid all complexity while valuing transparency. I have just published an essay which explains the types of projects you should avoid—and the ones I recommend for your first projects. Read it here:

Good luck with data science—and see you at one of my week-long classes where I teach those practical aspects in person, while you build your very first models.

Rafal

  • 25 October 2016
  • 983 views

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