Kommunikationstraining Schulungen finden - Das passende Seminar in Ihrer Nähe
Lernformate der Kommunikationstraining SchulungenPräsenzunterricht // Onlinekurs bzw. Fernkurs // Kombination Präsenz & Online
Auf Seminarmarkt.de finden Sie aktuell 644 Schulungen (mit 3.918 Terminen) zum Thema Kommunikationstraining mit ausführlicher Beschreibung und Buchungsinformationen:
Schlagfertigkeit und Durchsetzungsvermögen
- 09.12.2024- 10.12.2024
- Wuppertal
- 1.440,00 €
Kommunikations- und Selbstsicherheitstraining
- 23.10.2024- 24.10.2024
- Landshut
- 960,00 €
Viele Situationen erfordern eine klare und überzeugende Kommunikation, selbstsicheres Auftreten und entschlossenes Handeln, um den Anforderungen von Rolle und Funktion gerecht zu werden. Erweitern Sie Ihre Gesprächskompetenz, lernen Sie Klartext zu reden, überzeugend zu argumentieren und sich durchzusetzen, damit Ergebnisse und Ziele verbindlich erreicht und von allen mitgetragen werden.
Webinar
LIVE Webinar: POSITIV BLEIBEN BEI PROBLEMEN IM BERUFSALLTAG
- 25.11.2024
- online
- 380,80 €
Das bietet Ihnen das Seminar:
- Die Akzeptanz der Überraschung
- Das Prinzip der Selbstzuständigkeit
- Die Retter Rolle
- Die Problemlösung als Kick
Webinar
Material Compliance Fachkraft (TÜV)
- 04.09.2024- 06.09.2024
- online
- 1.660,05 €
Seminar: Rhetorik und Kommunikation auf den Punkt gebracht
- 29.07.2024- 30.07.2024
- Rostock
- 1.297,10 €
Beziehungsmanagement im Business
- 02.09.2024- 03.09.2024
- Münster
- 1.368,50 €
Körpersprache zielführend einsetzen - Körperlinguistik
- 22.07.2024- 23.07.2024
- Hannover
- 1.606,50 €
Kommunikation für Führungskräfte
- 16.09.2024- 17.09.2024
- München
- 1.535,10 €
Briefe & E-Mails - Formulieren Sie noch oder schreiben Sie schon?
- Termin auf Anfrage
- Ort auf Anfrage
- auf Anfrage
Webinar
IBM W7L156G - Use IBM Watson APIs to Get Structured Data from Unstructured Text and Voice
- 26.08.2024
- online
- 952,00 €
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 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.