Python Best Courses

Spark and Python for Big Data with PySpark – Python Best Courses

Spark and Python for Big Data with PySpark - Python Best Courses Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!
Spark and Python for Big Data with PySpark - Python Best Courses Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!

Spark and Python for Big Data with PySpark – Python Best Courses

Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!

What you’ll learn

Spark and Python for Big Data with PySpark – Python Best Courses

  • 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 Logistic 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!

Requirements

  • General Programming Skills in any Language (Preferably Python)
  • 20 GB of free space on your local computer (or alternatively a strong internet connection for AWS)

Description

Learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python Best Courses!

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 Best Courses, 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!
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
  • Content From: https://www.udemy.com/course/spark-and-python-for-big-data-with-pyspark/
  • Python Programming for Beginners & Interviews – Learn Python
  • Last updated 9/2019

Spark and Python for Big Data with PySpark – Python Best Courses

Download Tutorial Button