Data Preparation with Phyton
This 24-hour introductory course is designed to provide students with the basic Python concepts, techniques, and tools necessary for preparing any type of data for deeper and complex analysis. This course will explain the importance of exploring and preparing data prior to data analysis. Once data has been acquired, specific characteristics about the data have to be understood to appreciate the data’s complexity and perform an informed analysis later. At the end of the course, the student is expected to have a fundamental knowledge of how data can be collected and prepared using Python in order to be used to gain insights in real-world applications.
Course Content:
- Phyton Programming
- Data Preparation
Data Visualization
This 40-hour diploma course is all about turning data into interpretable graphics. It covers the design and the creation of data visualizations based on available data and the required tasks. The course includes evaluation of visualization designs, from choosing colors and designing interactive visualizations.
Course coverage:
Module 1: Why we visualize
Module 2: How should we visualize
Module 3: Visualizing spatial data, networks and trees
Module 4: Interactive visualization
Module 5: Visualization applications