• Classroom
  • Online, Instructor-Led
Course Description

The Data Science & Big Data Overview | Tools, Tech & Modern Roles in the Data-Driven Enterprise is an introductory level course that introduces the entire multi-disciplinary Data Science team to the many evolving and related terms, with focus on Big Data, Data Science, Predictive Analytics, Artificial Intelligence, Data Mining, Data Warehousing. The overview explores the current state of the art and science, the major components of a modern data science infrastructure, team roles and responsibilities, and level-setting realistic possible outcomes for your investment.   This goal of this course is to provide students with a baseline understanding of core concepts and technologies to a conversant level.

Learning Objectives

Throughout the session you’ll explore: Foundations: Grids & Virtualization; SOA, ESB / EMB, The Cloud The Hadoop Ecosystem: HDFS; Resource Navigators, MapReduce, Spark, Distributions Big Data, NOSQL, and ETL ETL : Exchange, Transform, Load Handling Data & a Survey of Useful tools Enterprise Integration Patterns and Message Busses Developing in Hadoop Ecosystem: R, Python, Java, Scala, Pig, and BPMN Artificial Intelligence and Business Systems Who’s on the Team? Evolving Roles and Functions in Data Science Growing your Infrastructure

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Specialty Areas

  • Cyber Defense Analysis
  • Cyber Defense Infrastructure Support
  • Cyber Investigation
  • Digital Forensics
  • Exploitation Analysis
  • Network Services
  • Risk Management
  • Software Development
  • Test and Evaluation
  • Threat Analysis
  • Training, Education, and Awareness
  • Vulnerability Assessment and Management