Data Science and Engineering with Spark

Berkeley University of California via edX XSeries

edX XSeries based on 0 ratings

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Overview

The Data Science and Engineering with Spark XSeries, created in partnership with Databricks, will teach students how to perform data science and data engineering at scale using Spark, a cluster computing system well-suited for large-scale machine learning tasks. It will also present an integrated view of data processing by highlighting the various components of data analysis pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation. Students will gain hands-on experience building and debugging Spark applications. Internal details...

Syllabus

Courses under this program:Course 1: Big Data Analysis with Apache SparkLearn how to apply data science techniques using parallel programming in Apache Spark to explore big data.Course 2: Distributed Machine Learning with Apache SparkLearn the underlying principles required to develop scalable machine learning pipelines and gain hands-on experience using Apache Spark.Course 3: Introduction to Apache SparkLearn the fundamentals and architecture of Apache Spark, the leading cluster-computing framework among professionals.