Scala and Spark for Big Data and Machine Learning (Udemy.com)

Learn the latest Big Data technology - Spark and Scala, including Spark 2.0 DataFrames!

( 49 Reviews )

Created by: Jose Portilla

Produced in 2022

What you will learn

Use Scala for Programming
Use Spark 2.0 DataFrames to read and manipulate data
Use Spark to Process Large Datasets
Understand hot to use Spark on AWS and DataBricks

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 84 / 100

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Course Description

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:

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

Time: 10h

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Instructor Details

Jose Portilla

4.2 Rating
49 Reviews

Jose Marcial Portilla has a BS and MS in Mechanical Engineering from Santa Clara University and years of experience as a professional instructor and trainer for Data Science and programming. He has publications and patents in various fields such as microfluidics, materials science, and data science technologies. Over the course of his career he has developed a skill set in analyzing data and he hopes to use his experience in teaching and data science to help other people learn the power of programming the ability to analyze data, as well as present the data in clear and beautiful visualizations. Currently he works as the Head of Data Science for Pierian Data Inc. and provides in-person data science and python programming training courses to employees working at top companies, including General Electric, Cigna, The New York Times, Credit Suisse, and many more. Feel free to contact him on LinkedIn for more information on in-person training sessions or group training sessions in Las Vegas, NV.

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Reviews

4.2

49 total reviews

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Write a Review

By Jennifer Opal on

It was good and well explained. I'm really new to all of these topics but I do feel much more knowledgeable on the subject. I will definitely be repeating the course to further enhance my understanding.What would be great is some suggestions for some independent projects we can do after the course for beginners so that we can practise what we have learnt otherwise the course was great and I would highly recommend.

By Madhava Kumar Turumella on

Excellent course with a lot of good information. Though it is two years old and I am using a new version of SCALA I still managed to pretty much debug the old code and get the desired results. Awesome teaching! All the very best.

By zgr Aksoy on

the course only covered spark dataframes. no other spark programming aspects were included. It should be better if spark was covered more thoroughly instead of spark mllib

By McSquare on

A very nice course, clear and easy to follow. What I missed a bit is some data visualisation. Without it, the examples tend to be a little dry.

By Jean-Philippe Ulpiano on

This course covered basic introduction about ML and how to apply it with Scala and Spark.I found it really enlightening and can only recommend for people having no to little knowledge in ML and Spark.

By Didier De Roy on

I thought the course was a bit more oriented towards Data science were i hoped to see more data engineer. Would have been also nice to more instructions on how to setup intellij to work with a local spark and versus a cluster like the sandbox hdp

By Lauma Burkevica on

It's nice to have a Scala course that teaches it step by step instead of assuming you know something similar like Java and giving tasks without properly introducing with it.

By Suhas Tarone on

Very good course & course contains , very clear & tidy communication.

By Sam on

Such a great course! I've done machine learning project with his pipeline code:) Thank you!

By Walther Groenewald on

Honestly, this is an amazing course. I will be recommending this course to my immediate team as well as other data analytics teams across FirstRand Bank Limited.

By Liam Gavin Leibrandt on