Spark and Python for Big Data with PySpark
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!
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Learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python!
One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!
Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!
This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we’ve done that we’ll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you’ll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem!
We also cover the latest Spark Technologies, like Spark SQL, Spark Streaming, and advanced models like Gradient Boosted Trees! After you complete this course you will feel comfortable putting Spark and PySpark on your resume! This course also has a full 30 day money back guarantee and comes with a LinkedIn Certificate of Completion!
If you’re ready to jump into the world of Python, Spark, and Big Data, this is the course for you!
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
12 reviews for Spark and Python for Big Data with PySpark
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Original price was: $129.99.$24.99Current price is: $24.99.
Javier Tapia –
Right pace and content, I’ll be great if the course is updated to the current spark version with its new capabilities
Deep Sharma –
Good explanations with ample examples. Working on the projects for hands on really helped.
Ahmad Saad –
I needed to learn about spark because I needed it for my project at my job, this course was a super kickstart for learning about spark.
Runhua Lei –
This is pretty concise lesson about Pyspark. Please update some code as it was outdated
Jesper Haglöf –
Could have been a bit longer, more machine learning examples or projects. Otherwise great courses as always with Jose Portilla
Bhavin Jani –
it was an amazing journey with this course especially with machine learning well explained and useful hints …
Ritesh Tripathi –
Since i have gone through most of his (Jose’s) other courses, i found this spark course a piece of cake, just the matter of how some of the parameters are changed that gives you desired results. Skipped Spark Streaming and NLP for the moment as its currently not required for my day to day job.
Raquel Igualador García –
Gran curso introductorio para manejar desde un nivel básico Pyspark. Muy buena documentación y ejercicios prácticos
Jhonatan Antonio Montilla Montañez –
Very clear explanations and good tips for setting tools.
Apllos Solutions –
High quality in all terms! Congrats!
Mr. Srihari Krishna Vankadari –
Excellent Course!!! For Beginners all the concepts are explained in very logical manner. You need to practice lot to understand better.
Nindra Mohan Raj –
For those who needs to know about basics of Machine Learning by Spark you can check out this. But you need know some prerequisites to understand everything nevertheless trainer will make you quickly go through prerequisites. Hope you find this review helpful.