Data Engineering and Machine Learning using Spark

Number of badges issued: 133

This badge earner can demonstrate a foundational knowledge of data engineering and machine learning using Spark. They can define unsupervised learning, with a focus on clustering, and can apply the k-means clustering algorithm using the Spark MLlib. The badge earner understands how to work with Spark MLlib, Spark Structured Streaming, and more to perform extract, transform and load (ETL) tasks, as well as Regression, Classification, and Clustering.

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Data Engineering and Machine Learning using Spark

What is needed to earn this credential or badge

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Complete the following course on Coursera.org, including all assignments: Data Engineering and Machine Learning using Spark.

Assessment

Pass all graded assessments and earn a course certificate.

Data Engineering and Machine Learning using Spark

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Data Engineering and Machine Learning using Spark

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