Scala and Spark for Big Data and Machine Learning
Learn how to utilize some of the most valuable tech skills on the market today, Scala and Spark! In this course we will show you how to use Scala and Spark to analyze Big Data.
Scala and Spark are two of the most in demand skills right now, and with this course you can learn them quickly and easily! This course comes packed with content:
Get immediately download Scala and Spark for Big Data and Machine Learning
Crash Course in Scala Programming
Spark and Big Data Ecosystem Overview
Using Spark’s MLlib for Machine Learning
Scale up Spark jobs using Amazon Web Services
Learn how to use Databrick’s Big Data Platform
and much more!
This course comes with full projects for you including topics such as analyzing financial data or using machine learning to classify Ecommerce customer behavior! We teach the latest methodologies of Spark 2.0 so you can learn how to use SparkSQL, Spark DataFrames, and Spark’s MLlib!
After completing this course you will feel comfortable putting Scala and Spark on your resume!
Thanks and I will see you inside the course!
Who this course is for:
Someone who already knows how to program and is interested in learning Big Data Technologies
Interested in using Spark with Scala for Machine Learning with Large Data Sets
Here’s What You’ll Get in Scala and Spark for Big Data and Machine Learning
– Download Sample files “Scala and Spark for Big Data and Machine Learning”
Course Requirement: Scala and Spark for Big Data and Machine Learning
Real Value: $139.9900
One time cost: USD42.0000
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What is the refund policy “Scala and Spark for Big Data and Machine Learning”?
- We’ll Bear The Risk, You’ll Take The Results…
- Within 30 days of purchased |Scala and Spark for Big Data and Machine Learning |, if you don’t get anything out of the program, or if your order has any problem, or maybe for some reason, you just don’t like the way it is. Please contact us and we will do our best to assist. Thank you for your understanding.
Have More Questions?
Our support staff is the best by far! please do not hesitate to contact us at email: [email protected] and we’ll be happy to help!
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