Learning Outcomes:
On successful completion of this module the learner will be able to:
1. Understand the principles and the purposes of data analytics.
2. Use Python to retrieve and analyse real-world datasets.
3. Apply the process of data understanding and address data quality issues.
4. Use appropriate machine learning techniques for a given data analytics problem.
5. Design evaluation experiments for selecting the best predictive model for a given analytics problem.