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. Python basics
   • Programming environment.
   • Variables and data types.
   • Input and output.
   • Control flow (conditionals and loops).
   • Functions.
2. Data extraction and visualization
   • Reading and writing data.
   • Data summarization and quality assessment.
   • Subset selection and data manipulation.
   • Data aggregation and statistics computation.
   • Data visualization and interpretation.