Introduction to Data Analytics and Big Data

UMBC Training Centers
Training overview
Price: 1,695 USD
Course homepage: Click here
Training type: Classroom / Public

Course description

Course description

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, i.e. "Big Data".

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Training Content

  • History of data analytics and data science
  • Defining key terms and understanding the jargon
  • Success stories and failures in data science
  • The key drivers for data analytics (data, math, computation and analysis)
  • The basic phases of a data analytics project
  • The different types of data
  • Overview of the different mathematical approaches for data analytics
  • The different concepts of machine learning
  • The role of analytic reasoning and logic to guide and validate efforts
  • Interpreting, reporting, and visualizing the results of data analytics
  • Verification and Validation of data analytics projects and systems
  • Transitions from project concept to deployed data analytic system
  • Computational and data storage considerations for data analytics
  • Data Analytics at Scale: Big Data
  • Big Data tools and techniques
  • Overview of Hadoop and NoSQL
  • Current trends in data analytics
  • Costs

    The cost of this course is 1695 USD. Contact the provider for more information.

    About supplier

    UMBC Training Centers

    UMBC Training Centers is a premier provider of professional and technical training for individuals, businesses, non-profit organizations and government agencies.  UMBC Training Centers is a part of the University of Maryland, Baltimore County (UMBC) and is organized as a not-for-profit...

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    Contact info

    UMBC Training Centers

    1110 Vermont Ave.
    20005 Washington DC

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