Scala and Spark for Big Data and Machine Learning

Name: Scala and Spark for Big Data and Machine Learning
Brand: Udemy
SKU: 43299
Price: 12.99 USD
Availability: InStock

$12.99Track price

Jose Portilla 17 Big Data Udemy

Add your review

Description
Instructor Details
Additional information
Reviews (10)

8.5/10 (Our Score)

Product is rated as #24 in category Big Data

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:

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!

Instructor Details

Jose PortillaHead of Data Science, Pierian Data Inc.

Votes: 0

Courses : 21

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.

Specification: Scala and Spark for Big Data and Machine Learning

Duration	10 hours
Year	2019
Level	All
Certificate	Yes
Quizzes	No

10 reviews for Scala and Spark for Big Data and Machine Learning

4.3 out of 5

★★★★★

Write a review

Show all Most Helpful Highest Rating Lowest Rating

★★★★★
Vinod Subramanian – January 18, 2020
Mixing Indexing, OneHotEncoding, train test split and Pipeline is not a good idea. You should have shown these without Pipeline first and then introduce the concept of Pipeline.
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Varun Khanna – January 27, 2020
Great course !!! I recommend it !!!
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Lucero Yanez – February 13, 2020
Very well explained course, I really learned a lot.
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Pooja Kamble – March 23, 2020
the course isn’t updated. Installation itself is getting hectic due to the same.
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Kgaugelo – July 6, 2020
yes so far so good, concepts explained very well
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Alejandro Martinez – July 6, 2020
conceptos claros
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Bessy Basil – July 10, 2020
Easy to follow , interesting as well!
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Lisa Jackson – July 20, 2020
Yes so far this is a good course for me. The basics are being laid out in an understandable manner and interactive exercises are removing the apprehensions I had to using the spark shell.
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Thierry Banel – July 21, 2020
Good! Missing a small intro on ML
Helpful(0) Unhelpful(0)You have already voted this
★★★★★
Dawid Galarowicz – July 28, 2020
Very easy to follow and focuses on useful commands
Helpful(0) Unhelpful(0)You have already voted this