Spark and Python for Big Data with PySpark
Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!
What you’ll learn
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Use Python and Spark together to analyze Big Data
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Learn how to use the new Spark 2.0 DataFrame Syntax
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Work on Consulting Projects that mimic real world situations!
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Classify Customer Churn with Logisitic Regression
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Use Spark with Random Forests for Classification
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Learn how to use Spark’s Gradient Boosted Trees
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Use Spark’s MLlib to create Powerful Machine Learning Models
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Learn about the DataBricks Platform!
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Get set up on Amazon Web Services EC2 for Big Data Analysis
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Learn how to use AWS Elastic MapReduce Service!
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Learn how to leverage the power of Linux with a Spark Environment!
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Create a Spam filter using Spark and Natural Language Processing!
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Use Spark Streaming to Analyze Tweets in Real Time!
Requirements
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General Programming Skills in any Language (Preferrably Python)
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20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)
Who this course is for:
- Someone who knows Python and would like to learn how to use it for Big Data
- Someone who is very familiar with another programming language and needs to learn Spark
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