Microsoft Project Schulungen finden – Die passende Weiterbildung in Ihrer Nähe

Overview

The Engineering Workflow Management Administration for Configuration Managers course is designed to provide students with the knowledge to configure Engineering Workflow Management version control and build areas so that change and release management can be effectively adopted by the project team. Topics include ELM, EWM Source Control, Managing the Build Component, and Managing Reports.

Overview

The Engineering Workflow Management Administration for Configuration Managers course is designed to provide students with the knowledge to configure Engineering Workflow Management version control and build areas so that change and release management can be effectively adopted by the project team. Topics include ELM, EWM Source Control, Managing the Build Component, and Managing Reports.

Overview

This course enables the project administrators and ETL developers to acquire the skills necessary to develop parallel jobs in DataStage. The emphasis is on developers. Only administrative functions that are relevant to DataStage developers are fully discussed. Students will learn to create parallel jobs that access sequential and relational data and combine and transform the data using functions and other job components.

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.

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.

Das Seminar richtet sich an Mitarbeiter und Manager, die Termine, Kosten und Ressourcen professionell verwalten wollen. Für die professionelle Verwaltung der Termine, Kosten und Ressourcen stellt Microsoft Project dazu dem Projektmanager bzw. Mitarbeiter ein geeignetes Werkzeug für die Planung, Überwachung und Auswertung von Projekten zur Seite. Anwendungsgebiete liegen vor allem im Baugewerbe, Anlagenbau, F + E-Bereich, der Softwareentwicklung und der kaufmännischen Projektsteuerung. Microsoft Project bietet vielfältige Möglichkeiten der Darstellung von Informationen, z.B. im Gantt-Balkendiagramm, Soll-Ist-Vergleich, Arbeitsstundenauswertung etc.