Skills developed:
Data-oriented programming.
Manipulation and transformation of complex data.
Visualization and communication of results.
Analytical thinking and decision making based on data.
Programming for Data Science
Lecture 1: Introduction
08/01/2025
M. Tydrichova 08/01/2025
, Previously in Data science class
Previously in Data science class
M. Tydrichova 08/01/2025
, Previously in Data science class
Data science lifecycle
Problem definition
Data collection
Data preparation
Data exploration/visualization
Data analysis
Communication
M. Tydrichova 08/01/2025
, Previously in Data science class
Data science lifecycle
Problem definition
Data collection In next 2 (3) lectures, we
will see how to effectively
load, store and manipulate
Data preparation
data in Python
→ two Python packages for
Data exploration/visualization handling data:
NumPy: today
Data analysis Pandas: tomorrow/next
week
Communication
M. Tydrichova 08/01/2025
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