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Hortonworks HDP Developer: Enterprise Spark I

This course is designed as an entry point for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Spark. Topics include: An overview of the Hortonworks Data Platform (HDP), including HDFS and YARN; using Spark Core APIs for interactive data exploration; Spark SQL and DataFrame operations; Spark Streaming and […]

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Hortonworks HDP Developer: Apache Pig and Hive

This course is designed for developers who need to create applications to analyze Big Data stored in Apache Hadoop using Pig and Hive. Topics include: Hadoop, YARN, HDFS, MapReduce, data ingestion, workflow definition, using Pig and Hive to perform data analytics on Big Data and an introduction to Spark Core and Spark SQL. Upon completion […]

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Hortonworks HDP Analyst: Data Science

This course provides instruction on the processes and practice of data science, including machine learning and natural language processing. Included are: tools and programming languages (Python, IPython, Mahout, Pig, NumPy, pandas, SciPy, Scikitlearn), the Natural Language Toolkit (NLTK), and Spark MLlib. Upon completion of this course, students will be able to: Recognize use cases for […]

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Hortonworks HDP Analyst: Apache HBase Essentials

This course is designed for big data analysts who want to use the HBase NoSQL database which runs on top of HDFS to provide real-time read/write access to sparse datasets. Topics include HBase architecture, services, installation and schema design. Upon completion of this course, students will be able to: Integrate HBase with Hadoop and HDFS […]

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Deep Learning with TensorFlow

TensorFlow is an open source machine learning library from Google designed for numerical computation using data flow graphs. Nodes represent mathematical operations, while edges in the graphs represent tensors being passed between nodes. While this framework lends itself particularly well to deep learning with neural networks, any framework can be added to the graph, allowing […]

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Data Warehousing on Amazon Web Services (AWS)

Data Warehousing on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS. This course demonstrates how to collect, store, and prepare data for the data warehouse by using other AWS services such as Amazon DynamoDB, Amazon EMR, Amazon Kinesis […]

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Data Analysis with Excel

The objective of this course is to provide students with a strong foundation in fundamental concepts of statistics and analytics that are both theoretical and applied. The course will teach enough statistical theory so that students can become educated consumers of analytical methodology, with an emphasis on application of these techniques to reach sound conclusions […]

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Data Analysis for IT & Cyber Professionals

This course is offered in a number of variants, each of which focuses on data within a specific industry or domain (e.g. finance, health care, marketing, and IT/Cyber). The IT/Cyber course focuses on the analysis of data within an enterprise IT infrastructure, to be analyzed for the purposes of monitoring the health and security of […]

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Big Data on Amazon Web Services (AWS)

Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. […]

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