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!
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
Can I download Spark and Python for Big Data with PySpark course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Spark and Python for Big Data with PySpark course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
