Practical Data Science with Cortana Intelligence: Azure Machine Learning, SQL Data Mining and R
6th November 2017 - 10th November 2017
Who is it for?
This course is aimed at analysts, analytical power users, predictive developers, BI power users and developers, budding data scientists and consultants.
What you will learn
You will learn machine learning, data mining, some statistics, data preparation, and how to interpret the results. You will see how to formulate business questions in terms of data science hypotheses and experiments, and how to prepare inputs to answer those questions. We will cover common issues and mistakes, how to resolve them, like overtraining, and how to cope with rare events, such as fraud. At the end of this course you will be able to plan and run data science projects.
As a practising data miner, Rafal will share his decade of hands-on experience while teaching you about Azure Machine Learning (Azure ML) which is the foundation of Cortana Intelligence Suite, and its highly-visual, on-premises companion, the SQL Server Analysis Services Data Mining engine, supplemented with the free Microsoft R Open and license-based Microsoft SQL Server 2016 R Services and R Server software. We will use some Excel, however, most of our time will be spent in ML Studio, some in RStudio, SSDT, SSMS, and the Azure Portal.
- Data Science Fundamentals
- Tools (SQL and R)
- Tools (R and Azure ML)
- Clustering, Segmentation and Anomalies
- Basic Statistics
- Classifier Precision
- Other Algorithms
- Production and maintenance
A detailed agenda for the course can be found here.
In this intensive five day workshop you’ll learn the fundamentals of data science and machine learning. The format is 60% lectures interspersed with 20% demos, plus approximately 20% time allocated for you to practice the demos while Rafal helps you resolve any issues and answers group questions. You should have your own account with access to Azure Machine Learning configured (both the free and paid-for versions are acceptable, though the paid version is preferred) You do not need to practice: if you prefer you can use the available time for a discussion of your own data and projects. You are free to take our data samples and PPT slides, but no formal notes or workbooks are provided.Cost: £2199 (to August 31 2017), £2499 (from September 1 2017) +VAT
Rafal Lukawiecki, Strategic Consultant at Project Botticelli Ltd (projectbotticelli.com), focuses on making advanced analytics easy, insightful, and useful, helping clients achieve better organizational performance. Passing those skills to consultants, developers, and board members is important to him. He specializes in business intelligence, looking for valuable patterns and correlations using data mining, and he is also known for his work in cryptography, enterprise architecture, and solution delivery. Rafal has been a popular, well-travelled speaker at major IT conferences since 1998. He even had the honour of sharing keynote platforms with Bill Gates, Neil Armstrong, and Steve Ballmer. A natural educator, he explains complex concepts in simple terms in an engaging, enjoyable, energetic style. Outside IT, Rafal spends a quarter of every year finding abstractions in natural landscapes, expressing them through traditional, black-and-white, large-format lm photography in his hand-made, silver-gelatin prints—see rafal.net.
Aldersgate House, 135-137 Aldersgate Street, EC1A 4JA
Cancellations must be submitted in writing, either via email or by post. Registrants whose cancellations are received at least 2 weeks before the beginning of the course are entitled to a full refund minus a £80 processing fee plus any credit card charges incurred. No refunds will be given to registrants who cancel less than 2 weeks before the beginning of the course or who fail to attend.
In the extraordinary case where the course is cancelled a full refund will be given to all paid registrants. Crossjoin Consulting will not refund any other amount paid by registrants to other companies, including travel expenses and hotel reservations.
Chris Webb's Introduction to MDX course was well-run, informative and good value. It gave me a good understanding of the key principles and ideas and how to apply them to real world situations. It was great environment to learn in, with Chris giving excellent practical exercises and having the depth of knowledge to answer to any group questions.