EIEIOTECHNOVATION
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EIEIO / DATA SCIENCE

Data Analytics Level 2

Course outline

Duration to discuss

Outline

  • Analytics in Industry 4.0
  • Understand the basic concepts of diagnostic analytics
  • Understand how predictive analytics techniques could be used to forecast demand
  • Apply basic prescriptive analytics to recommend stocking level of several products sharing WIP space
  • Understand how smart systems should be designed to work with humans responsible for business outcomes
  • Data Analytics Begins with Me
  • Painting the big picture –Big Data and Data Analytics
  • The Data Analytics Process
  • Introduction to Machine Learning
  • A Primer on Artificial Intelligence
  • Introduction to Statistical Concepts
  • Data Cleaning Concepts/Techniques
  • Data Visualisation Begins with Me
  • List how visualisation is useful in a variety of settings
  • Apply visualisation to data to understand and analyse it
  • Communicate analysis effectively with data visualisations
  • Quantitative Data Reasoning Bootcamp
  • The logic of reasoning quantitatively with data
  • Hypothesis formulation, operationalising constructs
  • Data collection and cleaning
  • Use of descriptive statistics and data visualisation methods
  • The role of probability in reasoning with data
  • Statistical inference –drawing conclusions from our data
  • Using models –how to mathematically represent relationships in our data
  • How to effectively communicate our results

Programme scope, delivery arrangements and suitability are confirmed during enquiry.