Data Analytics Fundamentals

• This Microcredential introduces the fundamentals of data analytics, equipping learners with the skills to analyse, interpret, and model data effectively.

  Students will explore key statistical concepts, hypothesis testing, and predictive analytics using regression techniques, with hands-on experience in R. Ideal for those looking to build practical data skills for real-world applications across a range of industries.

  WHO IS THIS MICROCREDENTIAL FOR?

  This Microcredential is aimed at early-career professionals, graduates, and those changing career who are seeking to develop foundational data analytics skills, as well as those looking to upskill in analytics and predictive modelling. It is particularly relevant for those working in business, finance, marketing, healthcare, and public sector roles where data-driven decision making is becoming increasingly important.

  WHY STUDY THIS MICROCREDENTIAL?

  There is growing demand across industries for individuals with data analytics skills, driven by the increasing availability of data and the need for evidence-based decision making. Employers are seeking professionals who can interpret data, assess its quality, and generate insights using statistical and predictive techniques. This Microcredential meets this demand by providing learners with essential analytical skills, including hypothesis testing, regression analysis, and practical experience using the R software environment.

  Fee
  Standard Fee £1200

  Entry Requirements

  Normally a 2.1 Honours degree in Mathematics, Statistics, Computer Science, Computer Applications, or a closely related discipline, or equivalent qualification acceptable to the University.

  The Programme

  Course Content

  Introduction to data analytics
  Statistical tools for understanding data
  Hypothesis testing
  Statistical modelling
  Predictive and regression analysis
  The R system for working with statistical data

  Delivery
  In-person delivery across 12 weeks. Pattern: Delivered 1 day a week.

  Subject to capacity. This Microcredential is not open to international student recruitment.

  Assessment

  Class Test (70%) and Practical (30%)

  Selection Criteria

  Normally a 2.1 Honours degree in Mathematics, Statistics, Computer Science, Computer Applications, or a closely related discipline, or equivalent qualification acceptable to the University.