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Introduction to Statistics

This course is an introduction to statistical methods common to engineering, science and social sciences applications. Topics covered include: Descriptive statistics Elementary probability theory Concepts of sampling Principles of statistical inference Analysis of data Means and Errors Distributions Regression

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Introduction to Machine Learning

In recent years industry, not just academia, has found that creating powerful data models provides the next level of value past traditional business intelligence. This course focuses on state of the art machine learning techniques combined with a practical approach designed to teach you to process your data and build models using Python’s scikit-learn. In […]

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Introduction to Data Visualization

We are constantly faced with a vast amount of complex information – often more than we can handle. Well-designed visual interpretations of data improve comprehension, communication, and decision making. This workshop introduces data methods and techniques that increase the understanding of complex data. The focus is on conveying ideas effectively with visually appealing charts, graphs and […]

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Introduction to Data Analytics and Big Data

The purpose of this course is for a student to get a broad familiarity with the relevant concepts of data analytics and data science and how they are applied to a wide range of business, scientific and engineering problems. The course will also explore the unique challenges of doing data analytics at very large scales, […]

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R Programming

Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. This intensive training course helps students learn the practical aspects of the R programming language. The course is […]

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Hortonworks HDP Operations: Security

This course is designed for experienced administrators who will be implementing secure Hadoop clusters using authentication, authorization, auditing and data protection strategies and tools. Upon completion of this course, students will be able to: Describe the 5 pillars of a secure environment List the reasons why a secure environment is needed Choose which security tool […]

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Hortonworks HDP Developer: Java

This advanced four-day course provides Java programmers a deep-dive into Hadoop 2.0 application development. Students will learn how to design and develop efficient and effective MapReduce applications for Hadoop 2.0 using the Hortonworks Data Platform. Students who attend this course will learn how to harness the power of Hadoop 2.0 to manipulate, analyze and perform […]

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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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