2024/2025

Data Analytics and Mining

Type: Mago-Lego

Delivered by: School of Data Analysis and Artificial Intelligence

When: 1, 2 module

Open to: students of one campus

Language: English

ECTS credits: 6

Contact hours: 48

Course Syllabus

Abstract

This course serves as an introduction to Data Analytics and Mining, offering participants a foundational understanding of essential concepts and techniques in the field. During this course, students become acquainted with math concepts related to data science and master basic methods of collecting, processing, and transforming data using Python. The curriculum covers fundamental principles such as data preprocessing, visualization, classical machine learning methods, and deep neural networks. Topics include basics of classification methods, regression, image recognition, and natural language processing. Emphasizing practical skills, the course explores Python as a primary tool due to its accessibility and widespread use in data analysis. Geared towards beginners, it covers fundamental principles including data importation, storage, manipulation, and basic analytical methods. Designed to accommodate students with python programming experience, the course serves as a springboard into more specialized areas within Data Analytics and Mining, such as machine learning, statistical data processing, and data visualization.