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Charles Darwin University (CDU)

  • 20% international / 80% domestic

Capture and Present Big Data Skill Set

  • Non-Award

This skill set addresses the skills and knowledge to capture, analyse, and present big data from one or more sources for a range of purposes in a broad range of workplaces and industries.

Key details

Degree Type
Non-Award
Duration
8 weeks full-time
Course Code
BSBSS00091
Study Mode
Online

About this course




This skill set addresses the skills and knowledge to capture, analyse, and present big data from one or more sources for a range of purposes in a broad range of workplaces and industries.

Entry requirements

To gain entry into BSBSS00091 Capture and Present Big data Skill Set, the preferred entry requirements for candidates include:

  • Relevant vocational experience
  • Basic computer skills
  • Knowledge of common computing terms and word processing
  • Proficiency with web browser software and sending/receiving e-mail including e-mail with an attachment
  • Familiarity with navigating the internet

To ensure you have the right skills and support to succeed in your course, a Language, Literacy, and Numeracy (LL&N) evaluation helps identify any areas where you may need additional support to help you achieve your goals.

Study locations

Online

What you will learn

To achieve BSBSS00091 Capture and Present Big Data Skill Set, a total of four (4) unit of competency must be completed as listed below.Students will be issued with a Statement of Attainment upon successful completion.

Career pathways

Possible occupations relevant to this skill set include:

  • Managing and storing big data
  • Capturing, preparing and testing big data
  • Big data analysis
  • Presentation techniques

Credit for prior study or work

Skills recognition is not applicable to this course. CDU's short courses are highly targeted courses designed to help you improve a specific skill. They will help you improve your career prospects, maintain currency in your field, or allow you to try out something completely new.