Spark and Python for Big Data with PySpark
4.5 (11,866 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
57,920 students enrolled

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!
4.5 (11,866 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
57,920 students enrolled
Created by Jose Portilla
Last updated 5/2020
English [Auto], French [Auto], 8 more
  • German [Auto]
  • Indonesian [Auto]
  • Italian [Auto]
  • Polish [Auto]
  • Portuguese [Auto]
  • Romanian [Auto]
  • Spanish [Auto]
  • Thai [Auto]
Current price: $135.99 Original price: $194.99 Discount: 30% off
11 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 10.5 hours on-demand video
  • 4 articles
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Use Python and Spark together to analyze Big Data
  • Learn how to use the new Spark 2.0 DataFrame Syntax
  • Work on Consulting Projects that mimic real world situations!
  • Classify Customer Churn with Logisitic Regression
  • Use Spark with Random Forests for Classification
  • Learn how to use Spark's Gradient Boosted Trees
  • Use Spark's MLlib to create Powerful Machine Learning Models
  • Learn about the DataBricks Platform!
  • Get set up on Amazon Web Services EC2 for Big Data Analysis
  • Learn how to use AWS Elastic MapReduce Service!
  • Learn how to leverage the power of Linux with a Spark Environment!
  • Create a Spam filter using Spark and Natural Language Processing!
  • Use Spark Streaming to Analyze Tweets in Real Time!
Course content
Expand all 67 lectures 10:35:13
+ Introduction to Course
4 lectures 30:12
Course Overview
Frequently Asked Questions
What is Spark? Why Python?
+ Setting up Python with Spark
2 lectures 06:11

Let's explain the set-up for the course!

Set-up Overview
Note on Installation Sections
+ Databricks Setup
2 lectures 11:49
Recommended Setup
Databricks Setup
+ Local VirtualBox Set-up
3 lectures 31:09

Let's walk through the local installation of Ubuntu

Local Installation VirtualBox Part 1
Local Installation VirtualBox Part 2
Setting up PySpark
+ AWS EC2 PySpark Set-up
4 lectures 38:58

Let's show you how to use Amazon Web Services' EC2 Instances for Spark!

AWS EC2 Set-up Guide
Creating the EC2 Instance
SSH with Mac or Linux
Installations on EC2
+ Python Crash Course
7 lectures 58:50
Introduction to Python Crash Course
Jupyter Notebook Overview
Python Crash Course Part One
Python Crash Course Part Two
Python Crash Course Part Three
Python Crash Course Exercises
Python Crash Course Exercise Solutions
+ Spark DataFrame Basics
7 lectures 01:04:52
Introduction to Spark DataFrames

Learn the basics of Spark DataFrames!

Spark DataFrame Basics
Spark DataFrame Basics Part Two

Learn some basic operations with Spark 2.0

Spark DataFrame Basic Operations
Groupby and Aggregate Operations
Dates and Timestamps
+ Spark DataFrame Project Exercise
2 lectures 20:06
DataFrame Project Exercise
DataFrame Project Exercise Solutions
+ Introduction to Machine Learning with MLlib
2 lectures 19:25
Introduction to Machine Learning and ISLR
Machine Learning with Spark and Python with MLlib
  • General Programming Skills in any Language (Preferrably Python)
  • 20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)

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