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Python, Spark, and Hadoop for Big Data

21 Hours

Administration of Apache Spark

35 Hours

Python and Spark for Big Data (PySpark)

21 Hours

Introduction to Graph Computing

28 Hours

Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP

21 Hours

Apache Spark MLlib

35 Hours

Big Data Analytics in Health

21 Hours

Hadoop and Spark for Administrators

35 Hours

Hortonworks Data Platform (HDP) for Administrators

21 Hours

A Practical Introduction to Stream Processing

21 Hours

Magellan: Geospatial Analytics on Spark

14 Hours

Apache Spark for .NET Developers

21 Hours

SMACK Stack for Data Science

14 Hours

Apache Spark Fundamentals

21 Hours

Apache Spark in the Cloud

21 Hours

Spark for Developers

21 Hours

Scaling Data Pipelines with Spark NLP

14 Hours

Apache Spark Streaming with Scala

21 Hours

Apache Spark SQL

7 Hours

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