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Cloudswyft

Data Analysis: A Practical Introduction for Absolute Beginners

Cloudswyft via OpenLearning

Overview


Course Syllabus

Download the course syllabushere

Topics Covered in the Course

As you explore the course, you will meet and learn with other people who are also interested in data analytics discussing and exploring topics such as:

Module 1: Data fluency
  • Our data-driven world
  • Data fluency
  • Data walk-through
  • Unpacking the walk-through
Module 2: Data structures, methods and visualisation
  • Data structures
  • Data anatomy
  • Data joins
  • Data analysis methods
  • Data visualisation methods
Module 3: Data analysis in context
  • Data analysis in context
  • Data ethics Career paths
Module 4: Conclusion

About Cloudswyft

CloudSwyft, together with its partners, provides high quality future ready technology skills courses direct to global learners. The comprehensive set of courses and microcredentials, from beginner to advanced levels, will help both new learners re-skill and get ready for a new career in technology and existing professionals to upskill and advance their career prospects. CloudSwyft’s Virtual Labs Platform digitally transforms education institutions’ physical campus computer lab facilities into fully-automated cloud-based virtual lab environments to increase productivity for students and lecturers for all their lab classes that use multiple software applications and tools, anytime and anywhere. A system that transforms and fully automates lab facilities and environments onto the cloud has been extremely useful and valuable during the pandemic when most schools and offices are closed and almost everything is done online.


Shareable on LinkedIn

You can download your Course Certificate and share your Digital Credential to your LinkedIn profile, or online resumes.

Syllabus

  • Understand data's many contexts, origins and applications in life, work, and society.
  • Understand introductory-level data and mathematical concepts.
  • Work with different types of data.
  • Become data literate with the basic data analyst toolkit, including data storytelling.
  • Apply summary statistics to analyse and understand data sets.
  • Apply analytics methods to industry and business scenarios.
  • Learn about data analyst career paths.

Taught by

CloudSwyft

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