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Course Info & Coupon Details
Course name: Spark and Python for Big Data with PySpark
Course instructor: Jose Portilla (Data Scientist)
Description Course: Learn how to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more!
Online course: 61 lectures, Intermediate Level
Video length: 7 hours
Categories: Software Engineering, Spark Courses, Python Courses
Students & Ratings: As of May 05, 2017, more than 768 students enrolled and have over 25 ratings.
Course type Includes: Lifetime access to all videos, including all future updates.
There is no risk: 30-day money back guarantee!
Learn Anywhere Available: iPhone, iPad, Tablets, iOS and Android
Recognition Certificate: You will receive a Course Completion Certification from Udemy platform.
In this course, Jose Portilla teaches you to use Spark with Python, including Spark Streaming, Machine Learning, Spark 2.0 DataFrames and more! I’m so confident that you’ll enjoy what you learn “Spark and Python for Big Data with PySpark“.
Brief Course Curriculum and Learning Objectives
The online course “Spark and Python for Big Data with PySpark” has been developed by Jose Portilla is a leading Data Scientist expert, he experiences in teaching data science to help other people learn the power of the Python programming language and Data Analysis. Also, Jose is the author of Bestselling in Python and SQL courses on Udemy with over 178.000 students from all over the world. Through over 61 lectures, approximately 7 hours of video content you will learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python! Active and helpful community, access to student discussion forum and direct access to your instructors. Here are some of the things you will learn:
You will be able to use Python and Spark together to analyze Big Data
You will learn how to use the new Spark 2.0 DataFrame Syntax
You will be able to work on Consulting Projects that mimic real world situations!
You will be able to use Spark with Random Forests for Classification
You will be able to classify Customer Churn with Logisitic Regression
You will learn how to use Spark’s Gradient Boosted Trees
You will be able to use Spark’s MLlib to create Powerful Machine Learning Models
You will learn about the DataBricks Platform!
You will be able to get set up on Amazon Web Services EC2 for Big Data Analysis
You will learn how to use AWS Elastic MapReduce Service!
You will be able to use Spark Streaming to Analyze Tweets in Real Time!
You will learn how to leverage the power of Linux with a Spark Environment!
You will be able to create a Spam filter using Spark and Natural Language Processing!
Conclusion and Recommendation
This course is a great way to learn how to use Spark with Python. If you knows Python and would like to learn how to use it for Big Data, or you is very familiar with another programming language and needs to learn Spark, this course is an excellent choice! Enrolling in Course Now 😀
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