Data Exploration & Preparation

Master data science workflows, from raw data acquisition to clean, ML-ready datasets using modern tools and techniques

5 Lectures

Data Formats

Python & Orange

What You'll Learn

5

In-depth lectures

XML

Structured data parsing

REST

API data retrieval

Orange

Visual data mining

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

Workflows Orange EDA

Lecture 2

Data Preparation

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

Cleaning Transformation ML-Ready

Lecture 3

Data Formats: XML

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

XML Parsing XPath

Lecture 4

Data Formats: REST APIs

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

REST JSON APIs

Lecture 5

Web Scraping

Techniques for extracting data from websites and web applications using Python

BeautifulSoup Selenium Ethics

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

CalFire Dataset Orange ML Pipeline

Practical 2

Web Scraping with Python

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

BeautifulSoup Pagination CSV Export

Practical 3

XML Data Processing

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

lxml XPath DataFrame

Practical 4

REST API Data Retrieval

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

requests JSON REST Countries