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New Data Science Course on Building Recommender Systems – 10% Discount to CTOvision Readers


Cloudera University is offering a new training course on data science titled Introduction to Data Science – Building Recommender Systems.  The course is coming to the Washington DC area 20-22 Feb 2012.

If history is our guide, this course will be booked fast. My recommendation: look over the course outline below and register right away.  CTOvision readers can attend the course with a 10% discount, so be sure to use the code we provide below to book at the reduced price.

The code is: ClouderaFE_10

Here is more on the course plus the registration link:

Introduction to Data Science – Building Recommender Systems

Course Summary

This hands-on course is suitable for software engineers, data analysts and statisticians. It is problem-driven and focuses on helping participants understand what a data scientist does, the problems they typically solve and their approach to doing so. By taking a practical approach to the subject, including multiple hands-on exercises, participants will leave the course with skills they can immediately apply to real-world problems.

Download the full agenda for Cloudera’s Introduction to Data Science.

Read the blog post: Training a New Generation of Data Scientists.


3 days.

You Will Learn

  • Describe the role and responsibilities of a data scientist
  • Explain several ways in which data scientists create value for organizations across many industries
  • Locate and acquire data from diverse sources
  • Use transformation and normalization techniques to produce accurate, useful data sets
  • Determine the most appropriate type of analysis to perform for a given problem
  • Be able to implement an automated recommendation system
  • Develop, evaluate and refine scoring systems for recommenders
  • Understand the considerations involved in working at scale
  • Identify meaningful, actionable and business-oriented results from the analysis


This course is suitable for software engineers, data analysts and statisticians. A basic knowledge of Hadoop is assumed: use of the HDFS file system, awareness of the MapReduce framework, Hadoop Streaming and Hive. Students should have proficiency in a scripting language; Python is strongly preferred, although students familiar with another language such as Perl or Ruby should be able to complete the exercises.


  • Introduction
  • Data Science Overview
  • Use Cases
  • Project Lifecycle
  • Data Acquisition
  • Evaluating Input Data
  • Data Transformation
  • Data Analysis and Statistical Methods
  • Fundamentals of Machine Learning
  • Recommender Overview
  • Introduction to Apache Mahout
  • Implementing Recommenders with Apache Mahout
  • Experimentation and Evaluation
  • Production Deployment and Beyond
  • Conclusion
  • Appendix A : Hadoop Overview
  • Appendix B: Mathematical Formulas
  • Appendix C : Language and Tool Reference

To register:


Read the original blog entry...

More Stories By Bob Gourley

Bob Gourley, former CTO of the Defense Intelligence Agency (DIA), is Founder and CTO of Crucial Point LLC, a technology research and advisory firm providing fact based technology reviews in support of venture capital, private equity and emerging technology firms. He has extensive industry experience in intelligence and security and was awarded an intelligence community meritorious achievement award by AFCEA in 2008, and has also been recognized as an Infoworld Top 25 CTO and as one of the most fascinating communicators in Government IT by GovFresh.

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