Introduction to Data Science: Building Recommender Systems

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This course helps participants understand what data scientists do & the problems they solve. Using simulations, participants apply data science methods to real-world challenges in different industries & prepare for data scientist roles in the field.


Skills leaned in this course include:
  • The role of data scientists, vertical use cases, and business applications of data science
  • Where and how to acquire data, methods for evaluating source data, and data transformation and preparation
  • Machine learning fundamentals and breakthroughs, the importance of algorithms, and data as a platform
  • How to implement and manage recommenders using Apache Mahout and how to set up and evaluate data experiments
  • Steps for deploying new analytics projects to production and tips for working at scale


This course is suitable for developers, data analysts, and statisticians with basic knowledge of Apache Hadoop: HDFS, MapReduce, Hadoop Streaming, and Apache Hive.



  • Appendix A : Hadoop Overview
  • Appendix B: Mathematical Formulas
  • Appendix C : Language and Tool Reference

Training provider

Teaching mode:
Classroom - Instructor Led
Online - Instructor Led
Duration: 3 days
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