Beginning Data Exploration and Analysis with Apache Spark

80% of a data scientist's job is data preparation. This course is all about data preparation i.e. cleaning, transforming, summarizing data using Spark.
Course info
Rating
(95)
Level
Beginner
Updated
Oct 20, 2016
Duration
1h 57m
Table of contents
Description
Course info
Rating
(95)
Level
Beginner
Updated
Oct 20, 2016
Duration
1h 57m
Description

Data preparation is a staple task for any data professional, whether you just want to explore data or develop sophisticated Machine Learning models. Spark is an engine that helps do this in a very intuitive way, using functional constructs that abstract the user from all the messiness of working with large datasets. In this course, Beginning Data Exploration and Analysis with Apache Spark, you'll go through exploratory data analysis and data munging with Spark, step-by-step. First, you'll explore RDDs and functional constructs that make processing in Spark extremely intuitive. Next, you'll discover how to transform and clean unstructured data. Finally, you'll learn how to summarize data along dimensions and how to model relationships to build co-occurrence networks. By the end of this course, you'll be able to use Spark to transform data in any way that you would like.

About the author
About the author

Swetha loves playing with data and crunching numbers to get cool insights. She is an alumnus of top schools like IIT Madras and IIM Ahmedabad.

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