Beschreibung
Data Science and Data Analytics with KNIME
The 3-day training course focuses on Data Science and Data Analytics with KNIME. Participants will gain an understanding of the concepts and tools used in data preparation, visualization, modeling, and reporting. The course covers topics such as ETL with KNIME, advanced analytics with machine learning techniques, and automation and deployment of workflows using KNIME Server.Kommende Starttermine
Inhalte / Module
- Introduction and Context
- Overview of Data Science, Data Analytics, and related fields
- Chances and Risks of Data Science
- Tools for interactive reporting
- Communikation and reporting
- Tools for data analysis
- Extract, Transform, Load (ETL) with KNIME
- Introduction to KNIME
- Data import from simple formats
- Data verification
- Merging data
- Data cleaning
- Data formats
- Work documentation
- Workflow organization
- Data visualization
- Data export
- KNIME Machine Learning
- Introduction to machine learning
- Supervised and unsupervised learning
- Building and evaluating classification models
- Building and evaluating regression models
- Tuning model parameters
- Advanced Analytics with KNIME
- Text mining and natural language processing
- Time series analysis
- Advanced visualization with KNIME
- Workflow documentation
- Results communication and reporting with KNIME
- Data Science - Overview
- Introduction to Data Science and its origins
- The stages of analysis according to Gartner
- Basic concepts of statistics
- Descriptive statistics and data properties
- Machine Learning Techniques
- Regression, overfitting, Tree methods, Bagging, and Boosting
- Classification methods and techniques
- Unsupervised learning techniques
- Advanced KNIME
- Data streaming
- Time and date formats
- Looping in KNIME
- Data import from databases locally and remotely
- Data export to local and remote databases
- Basic math and logical operations
- KNIME Workflow Automation and Deployment
- Automating KNIME workflows
- Batch processing
- Email notifications
- Workflow documentation
- Workflow maintenance
- Workflow version control
- Deploying workflows to servers
- Deploying workflows as web services
- Integrating KNIME with other data tools and systems
- Automating data workflows with KNIME Server
- Integrating KNIME with other analytics tools (e.g. R, Python)
- Deploying KNIME workflows to cloud platforms (e.g. AWS, Azure)
Zielgruppe / Voraussetzungen
Hinweis: Dieser Kurs richtet sich an Mitarbeitende aus Unternehmen und Institutionen.
Für Privatpersonen ist dieser Kurs leider nicht geeignet.
Bitte beachten Sie: Bildungsgutscheine der Agentur für Arbeit werden für diesen Kurs NICHT anerkannt.
Abschlussqualifikation / Zertifikat
Infos anfordern
GFU Cyrus AG
Erweitern Sie Ihre IT-Skills mit einem offenen IT-Training oder ganz nach Ihren Bedürfnissen durch eine individuelle IT-Schulung. Programmiersprachen (C#, Python, Java, …), Microsoft Office 365, Anforderungsmanagement, Projektmanagement, Business Intelligence, Data Science, Künstliche Intelligenz, IT-Sicherheit , Administration & Datenbanken, Softwareentwicklung, Testmanagement...
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