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Cloudswyft

Essential Math for Data Analysis Using Excel Online

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:

  1. Maths and Data
    • Maths and Data
    • Types of Data
    • Notation
    • Mean and Deviation
    • Wrap Up
  2. Calculations and Graphs
    • Summarising Data
    • Other Distributions
    • Bar Graphs and Pie Charts
    • Mode, Mean and Median
    • SD & IQR
    • Proportions
    • Wrap Up
  3. Business Statistics
    • Business Statistics
    • Business KPI's
    • Null Hypothesis
    • P-Vlues & T-Test
    • Time Series Analysis
  4. Conclusion
    • Challenge Lab 1
    • Challenge Lab 2
    • Final Assessment
    • 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

  • Handle data sets for analysis purposes
  • Understand beginning mathematical notation
  • Work with different types of data
  • Summarise data with distributions and graphs
  • Apply summary statistics to analyse and understand data sets
  • Calculate business metrics and KPIs to derive business value from data sets
  • Apply basic inferential math to data
  • Use tools to forecast future trends in data

Taught by

CloudSwyft

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