Data Science - Foundations & Machine Learning

Unternehmensübergreifende Weiterbildung

An wen richtet sich die Weiterbildung?

Employees, adults in career transition, or professionals aiming to move into roles such as Data Scientist, Advanced Data Analyst, or Machine Learning Engineer; profiles from IT, science, mathematics, engineering, or business analytics backgrounds.

Erreichtes Niveau

Mittelstufe

Dauer

96,00 Stunde(n)

Sprache(n) der Dienstleistung

EN

Voraussetzungen

Basic computer skills, knowledge of logic, mathematics, and statistics. Ideally, participants should have completed a data analyst module or equivalent

Ziele

At the end of the training, participants will be able to:
- Install and use a Python environment for data science
- Manipulate data with fundamental tools (Anaconda, Jupyter, Pandas)
- Master the mathematical foundations necessary for machine learning
- Implement and evaluate different supervised learning models
- Work on artificial neural networks
- Apply unsupervised learning
- Visualise multidimensional data
- Complete a comprehensive data science project and defend it

Inhalt

Software basic programming / Mathematics / Machine Learning / Final Project

Behandelte Themen

Module 1 | Software basic programming |16h
- Anaconda
- Jupyter
- Python

Module 2 | Mathematics | 16h

Module 3 | Machine Learning | 48h
- Introduction Basics concepts and notations
- Basics models for supervised learning
- Multilayer Artificial Neural Networks
- Unsupervised Learning
- Visualising High-dimensional Data

Module 4 | Final Project | 24 h

Pädagogische Methoden

The approach combines theory, hands-on exercises, and an individual project, with interactive discussions to encourage practical application of the skills learned.

Zertifikat, Diplom

Training Certificate

Veranstaltungsart

Cancellation:
In case of cancellation or absence from the course, the registration fees are fully due if the cancellation is not made at least 72 hours before the start of the course. Absences properly justified with a medical certificate entitle the participant to a full refund of the registration fees.

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