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Data Science and Big Data Analytics Training


Data Science and Big Data Analytics Training

For a full outline and to register please visit our site, HERE. 

This intensive training course provides theoretical and technical aspects of Data Science and Business Analytics.  The course covers the fundamental and advanced concepts and methods of deriving business insights from big” and/or “small” data.  This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material.

Business success in the information age is predicated on the ability of organizations to convert raw data coming from various sources into high-grade business information.

To stay competitive, organizations have started adopting new approaches to data processing and analysis.  For example, data scientists are turning to Apache Spark for processing massive amounts of data using Spark’s distributed compute capability along with its built-in machine learning library, or switching from proprietary and costly solutions to the free R programming language.


Applied Data Science and Business Analytics

Algorithms, Techniques and Common Analytical Methods

Machine Learning Introduction

Visualizing and Reporting Processed Results

The R Programming Language

Data Analysis with R

Elements of Functional Programming

Apache Spark Introduction

Spark SQL

ETL with Spark

MLlib Machine Learning Library

Graph Processing with GraphX

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