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Unleash the power of data with KNIME Analytics Platform. From data access to visualization, and from ETL to reporting, this training offers a comprehensive understanding of KNIME, providing the tools to convert raw data into actionable insights.
The KNIME Analytics Platform is an open-source software designed for comprehensive data analytics, integration, and reporting. Whether you're a data scientist, business analyst, or just someone keen on making sense out of data, our 3-day intensive training is tailored for all proficiency levels. Dive deep into over 1000 modules and leverage the power of advanced algorithms, without writing a single line of code.
By the conclusion of this training, participants will be well-versed in crafting data-driven stories, making predictive analyses, and harnessing the full potential of KNIME for effective business intelligence solutions.
Discover. Analyze. Predict.
• Harness the combined capabilities of KNIME and expertise.
• Certified training ensuring top-notch learning quality.
Key Takeaways:
• Comprehensive understanding of the KNIME Analytics Platform.
• Practical insights into data visualization, ETL processes, and advanced data mining.
• Skills to create actionable reports based on KNIME workflows.
Basic experience in interpreting data.
*We know each team has their own needs and specifications. That is why we can modify the training outline per need.
1. Introduction to KNIME
• Overview of KNIME Analytics Platform
• Steps for Installation
• Exploring GUI-Based Programming
• Understanding Workflows and Nodes
• Importing Workflows Procedure
2. Data Access Essentials
• Reading from Text Files
• Database Access Techniques
• Fetching Data from External REST Services
• Generating Artificial Data
3. Visualization Fundamentals
• Techniques for Data Visualization
• JavaScript-Based Visualization
• Exploring Data Views
• Highlighting Features
• Creating Graphics using R
4. ETL & Data Manipulation
• Filtering Data Efficiently
• Data Aggregation Methods
• Concatenation & Join Techniques
• Transforming Data
• Workflow Clean-Up
• Handling Datetime Data
• In-Database Processing
5. Data Mining Processes
• Data Mining Overview
• Training & Application of Decision Trees
• Scoring Models
• Utilizing PMML
• Understanding K-Means Clustering
• Building Recommendation Engines
• Exploration of Other Available Models
6. Reporting Techniques
• Reporting Overview
• Integration with BIRT
• Introducing KNIME WebPortal
7. Conclusion & Future Steps
Hands-on learning with expert instructors at your location for organizations.
Master new skills guided by experienced instructors from anywhere.
