Spark Data Science

Course details

Overview

This course provides a hands-on learning experience for data scientists and Hadoop developers, covering Spark Core, Data Frames, ML-Lib and Spark-ML, with a focus on pre-processing machine learning ;
 
Duration
24 hours (online)
4 days (ILT) 
 
Course Topics

• Introduction to Apache Spark
• The Spark RDD API: Transformations & Actions
Class Datasets: Crime Reports & Weather
• Performance Tuning for Spark
• Spark SQL and DataFrames API
• Working with Spark DataFrames - Basic
• Working with Spark DataFrames - Joins
• Working with Spark DataFrames - Advanced
• Machine Learning with Spark - Mllib & Spark-ML API
• Spark-ML: A pipeline abstraction
• Building Predictive Models with Spark-ML
• Tree-based Predictive Models with Spark-ML
• Optimizing Supervised Learning Models with Spark-ML
• Clustering with Spark-ML
• Recommender Systems with Spark-ML
• The future of Spark 
 
  Updated on 16 May, 2018