Data Science Schulungen finden - Das passende Seminar in Ihrer Nähe
Lernformate der Data Science SchulungenPräsenzunterricht // Onlinekurs bzw. Fernkurs // Kombination Präsenz & Online
Auf Seminarmarkt.de finden Sie aktuell 1.224 Schulungen (mit 5.917 Terminen) zum Thema Data Science mit ausführlicher Beschreibung und Buchungsinformationen:
Machine Learning mit Python (Präsenz/Online)
- 25.06.2025- 26.06.2025
- Heidenheim an der Brenz
- 1.309,00 €

Fernlehrgang
Fernstudium Computer Science (B.Sc. )
- Beginn jederzeit möglich
- online
- auf Anfrage

Data Science mit GPT-4 bzw ChatGPT
- firmenintern
- Ort auf Anfrage
- auf Anfrage

Webinar
Data Science mit GPT-4 bzw ChatGPT
- 21.07.2025- 23.07.2025
- online
- 2.296,70 €

MS 365 SC-400T00 - MS Information Protection Administrator
- 02.06.2025- 05.06.2025
- Hamburg
- 2.844,10 €

Einführung R für Data Scientists
- firmenintern
- Ort auf Anfrage
- auf Anfrage

Webinar
Einführung R für Data Scientists
- 02.07.2025- 04.07.2025
- online
- 2.296,70 €

IBM W7L156G - Use IBM Watson APIs to Get Structured Data from Unstructured Text and Voice
- firmenintern
- Ort auf Anfrage
- auf Anfrage
Overview
In this course, the learner is guided through a realistic data science project. The project focuses on extracting business insights from large amounts of unstructured voice data, by using IBM Watson APIs. Starting from voice recorded customer reviews, the data are transcribed by using Watson Speech to Text and then are analyzed for emotion and keywords by using Watson Discovery. The structured results are stored in a tabular form and used to extract business insights in Watson Studio.
The course focuses on hands-on coding exercises that provide an opportunity to work with Watson Studio, Watson Discovery, and Watson Speech to Text. The exercises guide the learner on importing data and manipulating in a Watson Studio project, activate instances of installed services, and authenticate API connections by using Jupyter Notebooks. The exercises also introduce how to configure Watson Speech to Text and create custom language models, work with Watson Discovery, and introduce enrichments. Also, every exercise demonstrates suitable data manipulation that results in saved structured data.
The three hands-on exercises are included in this course, each focusing on a Jupyter Notebook and correspond to the three modules of the course. The necessary data, notebooks, and services are all available in the corresponding lab environment.

IBM W7L555G - IBM watsonx.ai: Rapid Machine Learning Model Development and Deployment with AutoAI
- firmenintern
- Ort auf Anfrage
- auf Anfrage
Overview
IBM watsonx.ai: Rapid Machine Learning Model Development and Deployment with AutoAI aims to familiarize data science and analytics professionals with the fundamentals of the IBM watsonx.ai AutoAI tool. This course walks users through creating IBM Cloud projects, building, and evaluating AutoAI experiments for various supervised machine learning and time series use cases, and finally, learners leverage Chat in the Prompt Lab for further analysis of the use case.
The course guides participants through AutoAI features, from model development to deployment, using a no-code approach for:
- Classification models
- Text classification models
- Regression models
- Time series models
- Hyperparameter tuning
- Model explainability
- Data imputation
- Model evaluation
- Model testing
- Deployment

Webinar
Modern Data Warehouse on Google Cloud
- 08.09.2025- 10.09.2025
- online
- 2.296,70 €

Modern Data Warehouse on Google Cloud
- firmenintern
- Ort auf Anfrage
- auf Anfrage
