Programming, Data Extraction and Visualisation

Introduction

The aim of this course is to equip the students with basic tools in programming, data extraction and visualization of datasets. Using a learning-by-doing approach, we solve basic problems encountered in data science using Python. The course will be using a blended learning approach with a focus on solving practical problems under guidance by teachers. Data examples for business applications will be given.

Course content

1. Basics of Python
   • Understand variables and data types.
   • Use statements for automated tasks (conditionals and loops).
   • Write functions.
2. Data extraction and exploratory analysis
   • Read and write data with Python.
   • Access a sub-set of a dataset, changing parts of the data, etc.
   • Analyze data quality.
   • Compute summary statistics and interpret the results.
3. Visualization techniques
   • Use univariate plots and multivariate plots to visualize data.
   • Interpret the results of the plots.