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Coming soonData ScienceAdvanced
Introduction to Data Science
Discover the full Data Science project lifecycle: data preparation, modelling, evaluation and communicating results.
Objectives
- Understand the lifecycle of a Data Science project
- Prepare data for modelling
- Build and evaluate simple predictive models
- Communicate results to non-technical stakeholders
Target audience
Analysts and professionals looking to move into Data Science.
Prerequisites
Basic knowledge of Python and statistics recommended.
Skills you will gain
Data Science project lifecycleData preparationPredictive modellingModel evaluation
Detailed programme
Modules 1
Data project lifecycle
From business question to deployment.
Modules 2
Data preparation
Feature engineering and train/test sets.
Modules 3
Predictive modelling
Regression, classification and decision trees.
Modules 4
Evaluation and communication
Performance metrics and presenting results.
Tools used
Pythonscikit-learnJupyter Notebook
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