In This Issue
Lead Story
it@cork welcomes a number of positive measures in the 2019 budget
it@cork Skillnet
LPIC-1 Part 1 LINUX CERTIFICATION (Linux Administrator)
Applied Data Science and Big Data Analytics
Other Industry Events
Launch of EY’s Disruptive Technology Services in Munster
Agile Tour Dublin 2018
Work Matters- Workplace For All- Breakfast Seminar
Staying Ahead - Digital Roadshow
Feature Article
Wishing all Finalists in the 2018 Leaders Awards the very best of luck!
Member News
The Changing Face of Entrepreneurship – CorkBIC shares its 30 years’ experience
100Mbps Delivered to the Worlds Most Remote Fashion Label
Employment Opportunities
Project Management Opportunity – Aspira
Business Analyst Opportunity – Aspira
September Tech Talk
Contact Us

Sarah Walsh admin@itcork.ie


Applied Data Science and Big Data Analytics

 

Book/request a place on this course

To book/request a place on this course please email Annette Coburn on skillnet@itcork.ie or phone on 086 0848704.

 

Overview

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.

 

Topics

  • 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

Target Audience

Data Scientists, Software Developers, IT Architects, and Technical Managers

 

See additional course details HERE 

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