Data Exploration &
Preparation

Master data science workflows, from raw data acquisition to clean, ML-ready datasets using modern tools like Python and Orange.

5
Lectures
4
Practicals
XML
+ REST APIs
Commencer
Défiler

Course Lectures

From data exploration fundamentals to advanced data acquisition techniques

Lecture 1

Introduction to Data Exploration

Data science workflows, exploration techniques, and visual analysis using Orange data mining tool

 Lecture 2

Data Preparation

Cleaning, transforming, and preparing raw data for machine learning projects

 Lecture 3

Data Formats: XML

Understanding XML structure, parsing techniques, and working with hierarchical data

 Lecture 4

Data Formats: REST APIs

Working with REST APIs, JSON data structures, and retrieving data from web services

 Lecture 5

Web Scraping

Techniques for extracting data from websites and web applications using Python

Practical Work

Hands-on exercises to practice data exploration and preparation techniques

Practical 1

Data Exploration & Preparation

Work with the California Fire Incidents dataset: cleaning, transformation, and model building in Orange

 Practical 2

Web Scraping with Python

Extract book data from toscrape.com using BeautifulSoup and create structured datasets

 Practical 3

XML Data Processing

Parse and transform XML documents into structured data using Python and XPath

 Practical 4

REST API Data Retrieval

Fetch and analyze country data from public REST APIs using Python and pandas