Description
In this course, you will learn :
- Use Python libraries to perform data modelling and create visually appealing visualisations.
- Identify and critique components of effective visualisations, charts, and complex relationship visualisation.
- Explain the thought process behind designing an application.
- Define best practises for establishing goals and planning the data analytics phases.
Syllabus :
- Data Visualisation with Python: Matplotlib and Visual Analysis
- Data Visualisation with Python: Seaborn and Scatter Plots
- Data Visualisation with Python: Bokeh and Advanced Layouts