Seminar - Cegos Integrata GmbH
Overview
In this course, students will learn to use scientific methods, processes, and algorithms to identify patterns, trends, and insights from data - with the goal of enabling better decision-making. Students will use watsonx.ai to synthesize skills from statistics, computer science, and management information systems to analyze and interpret complex datasets. This course includes a practical component with hands-on exercises focused on collecting, preparing, mining, and visualizing data and then building a machine learning and foundation model with methods on how to deploy them.
| Termin | Ort | Preis* |
|---|---|---|
| firmenintern | auf Anfrage | auf Anfrage |
Course Outline
Section 1 - Introduction to data science
Section 2 - Tools for data analysis
Section 3 - Data analysis and visualization
Section 4 - Machine learning and methodology
Section 5 - MLOps, deployment, and observability
Section 6 - Data Science and Generative AI
Objective
Audience
This course is intended for Data Scientists, AI Specialists, watsonx.ai Specialists, Solution Architects, or anyone interested in data science and gen AI.
