Data scientists build information platforms to provide deep insight and answer previously unimaginable questions. Spark and Hadoop are transforming how data scientists work by allowing interactive and iterative data analysis at scale.
Learn how Spark and Hadoop enable data scientists to help companies reduce costs, increase profits, improve products, retain customers, and identify new opportunities.
Cloudera University’s three-day course helps participants understand what data scientists do, the problems they solve, and the tools and techniques they use. Through in-class simulations, participants apply data science methods to real-world challenges in different industries and, ultimately, prepare for data scientist roles in the field.
This course is suitable for developers, data analysts, and statisticians with basic knowledge of Apache Hadoop: HDFS, MapReduce, Hadoop Streaming, and Apache Hive as well as experience working in Linux environments. Students should have proficiency in a scripting language; Python is strongly preferred, but familiarity with Perl or Ruby is sufficient
Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, and develop concrete skills such as:
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 Spark and MLlib
Implementing Recommenders with MLlib
Latent Factor Recommenders
Experimentation and Evaluation
Production Deployment and Beyond
Conclusion
Join our public courses in our New Zealand facilities. Private class trainings will be organized at the location of your preference, according to your schedule.