Data Science Curriculum

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Apache Hadoop & Apache Spark for Data Science

This 3 day instructor led course is designed to provide attendees with a comprehensive introduction to data science with Apache Spark and Apache Hadoop. Data science is an interdisciplinary field focused on developing insights from structured and unstructured data. Apache Hadoop and Apache Spark are some of the most important and most used tools in the data science field. This course will teach attendees how to use Apache Hadoop and Apache Spark to solve sophisticated data science problems, producing valuable insights in a wide range of scenarios.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

Data Science on AWS

This intensive 4 day hands on course is designed to teach attendees how to use AWS features to perform data analysis in the Amazon AWS environment. Each module is complemented with a hands on lab giving attendees practical experience with the topics covered. Day one focuses on data analytics basics, including data acquisition, scrubbing, manipulation and storage. A number of practical use cases are examined during class and lab sessions where students will gain exposure to S3, Glue and other tools. Day two focuses on data warehousing tools, introducing attendees to Red Shift, the Hive MetaStore and the Presto high performance query engine as well as powerful Athena automated and Kinesis streaming query services. Day three focuses on the Amazon EMR platform and the Apache Spark platform. Attendees will learn how to work with RDDs, DataFrames, SparkSQL and Spark Streaming. Day four introduces machine learning concepts and the key AWS tools for creating machine learning driven solutions to common business problems. Upon course completion attendees will have a clear understanding of data analysis, data processing and machine learning operations and their applications on the AWS platform.

This is an instructor-led training (ILT) class and is available for onsite and online delivery.

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