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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: http://university.cloudera.com/training/data_science/introduction_to_data_science_-_building_recommender_systems.html


Read the original blog entry...

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Bob Gourley writes on enterprise IT. He is a founder of Crucial Point and publisher of CTOvision.com

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