A Practical Introduction to Data Analysis and Big Data Training Course

Course Code

BigData_

Duration

35 hours (usually 5 days including breaks)

Requirements

  • A general understanding of math
  • A general understanding of programming
  • A general understanding of databases

Overview

Participants who complete this training will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.

Audience

  • Developers / programmers
  • IT consultants

Format of the course

  • Part lecture, part discussion, hands-on practice and implementation, occasional quizing to measure progress.

Course Outline

Introduction to Data Analysis and Big Data

  • What makes Big Data "big"?
    • Velocity, Volume, Variety, Veracity (VVVV)
  • Limits to traditional Data Processing
  • Distributed Processing
  • Statistical Analysis
  • Types of Machine Learning Analysis
  • Data Visualization

Big Data Roles and Responsibilities

  • Administrators
  • Developers
  • Data Analysts

Languages used for Data Analysis

  • R language
    • Why R for Data Analysis?
    • Data manipulation, calculation and graphical display
  • Python
    • Why Python for Data Analysis?
    • Manipulating, processing, cleaning, and crunching data

Approaches to Data Analysis

  • Statistical Analysis
    • Time Series analysis
    • Forecasting with Correlation and Regression models
    • Inferential Statistics (estimating)
    • Descriptive Statistics in Big Data sets (e.g. calculating mean)
  • Machine Learning
    • Supervised vs unsupervised learning
    • Classification and clustering
    • Estimating cost of specific methods
    • Filtering
  • Natural Language Processing
    • Processing text
    • Understaing meaning of the text
    • Automatic text generation
    • Sentiment analysis / topic analysis
  • Computer Vision
    • Acquiring, processing, analyzing, and understanding images
    • Reconstructing, interpreting and understanding 3D scenes
    • Using image data to make decisions

Big Data infrastructure

  • Data Storage
    • Relational databases (SQL)
      • MySQL
      • Postgres
      • Oracle
    • Non-relational databases (NoSQL)
      • Cassandra
      • MongoDB
      • Neo4js
    • Understanding the nuances
      • Hierarchical databases
      • Object-oriented databases
      • Document-oriented databases
      • Graph-oriented databases
      • Other
  • Distributed Processing
    • Hadoop
      • HDFS as a distributed filesystem
      • MapReduce for distributed processing
    • Spark
      • All-in-one in-memory cluster computing framework for large-scale data processing
      • Structured streaming
      • Spark SQL
      • Machine Learning libraries: MLlib
      • Graph processing with GraphX
  • Scalability
    • Public cloud
      • AWS, Google, Aliyun, etc.
    • Private cloud
      • OpenStack, Cloud Foundry, etc.
    • Auto-scalability
  • Choosing the right solution for the problem
  • The future of Big Data
  • Summary and Conclusion

Testimonials

★★★★★
★★★★★

Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £7250

Private Remote

From £6500 (107)

Public Classroom

Cannot find a suitable date? Choose Your Course Date >>Too expensive? Suggest your price

Course Discounts

Course Venue Course Date Course Price [Remote / Classroom]
Selenium WebDriver in C#: Introduction to Web Testing Automation in C# Sheffield Wed, 2018-09-26 09:30 £2178 / £2578
Introduction to Ansible Automation London, Hatton Garden Mon, 2018-10-08 09:30 £1089 / £1464
Jenkins: Continuous Integration for Agile Development Manchester, King Street Thu, 2018-10-18 09:30 £2574 / £3224
Introduction to Recommendation Systems Swansea- Princess House Thu, 2018-10-18 09:30 £990 / £1140
Impact Evaluation – Quantitative Analysis London, Hatton Garden Wed, 2018-10-24 09:30 £2574 / £3324
CakePHP: Rapid Web Application Development Birmingham Tue, 2018-11-06 09:30 £4356 / £5656

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