From Data to Insights to Action
About this course
This microcredential is designed for professionals seeking to use commonly-available data analysis methods to support business decisions.
In this microcredential, you will learn about the common kinds of statistical models and inference paradigms; common biases present in data and business analysis tools; the limitations of quantitative data analysis and how these can be supported by qualitative methods; the nature of generative models and how they relate to statistical models; and common visualisations and communication methods for quantitative analysis results.
By the end of this microcredential, you will have the knowledge and skills you need to interpret and critique quantitative data analysis, translate these into the understandings required to make data-driven business decisions, and communicate these results to your colleagues.
What will you learn?
This microcredential contains self-guided content, broken down into the following modules:
Module 1: Introduction to Data Analytics
Module 2: Gathering Data
Module 3: Statistical Modelling
Module 4: Developing Causal Models
Module 5: Reporting Quantitative Analyses
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