This lesson covers:
- The data science process for decision makers. How you can break down problems in a way that they can be solved through data science.
- Basic statistics for decision makers.
- The different types of machine learning.
- Lots of tips and advice on how decision makers should approach data science and work with decision makers.
Who is this for?
This lesson is perfect for an executive or entrepreneur who is planning to use data science for a particular problem, but are not sure how to get started. This lesson explains the different ways in which data science can be used (from statistical modelling to supervised/unsupervised learning) to solve real problems and add value in an organisation.
As part of this course, you get unlimited support via email and an 1 hour data science coaching call.
The data science process
The pillars of data science: statistics and machine learning
How decision makers can use data science in practice