Drive Team Excellence with KNIME Analytics Platform for BI Corporate Training

KNIME Analytics Platform is an open-source tool that facilitates data extraction, transformation, and loading (ETL), enabling users to analyze and visualize this information to generate business intelligence reports and dashboards. KNIME Analytics Platform for BI training course equips professionals with powerful data integration, transformation, and visualization tools, enabling them to derive actionable insights and make data-driven decisions efficiently. The course helps organizations streamline data processes, enabling efficient extraction of insights to enhance business performance and market competitiveness.

Edstellar's instructor-led KNIME Analytics Platform for BI training course offers virtual/onsite training options conducted by industry experts with extensive experience in data analytics. The course is designed to be highly interactive and practical, with a curriculum that can be customized to meet the specific needs of professionals. The experts ensure that the teams understand how to maximize the potential of the KNIME Analytics Platform for BI in their respective roles.

Get Customized Expert-led Training for Your Teams
Customized Training Delivery
Scale Your Training: Small to Large Teams
In-person Onsite, Live Virtual or Hybrid Training Modes
Plan from 2000+ Industry-ready Training Programs
Experience Hands-On Learning from Industry Experts
Delivery Capability Across 100+ Countries & 10+ Languages
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Skills Your Employees Will Gain

These are the core, hands-on capabilities your team builds during the program.

  • Data Integration
    Data Integration is the process of combining data from different sources into a unified view. this skill is important for roles like data analysts and engineers, as it enables informed decision-making and enhances data accuracy.
  • Workflow Design
    Workflow Design is the process of creating efficient sequences of tasks to optimize productivity. This skill is important for roles in project management and operations, ensuring streamlined processes and effective resource allocation.
  • Data Visualization
    Data Visualization is the ability to represent data graphically, making complex information accessible and understandable. this skill is important for analysts and decision-makers to identify trends, insights, and patterns effectively.
  • Analytics Modeling
    Analytics Modeling is the process of creating mathematical representations of data to uncover insights and predict outcomes. This skill is important for data analysts and business strategists, as it drives informed decision-making and enhances operational efficiency.
  • Machine Learning
    Machine Learning is the ability to develop algorithms that enable computers to learn from data. This skill is important for data scientists and AI engineers to create predictive models and enhance automation.
  • Predictive Analytics
    Predictive Analytics is the use of statistical techniques to analyze data and forecast future outcomes. this skill is important for data analysts and business strategists to drive informed decision-making.

What Your Team Will Achieve After This Training

  • Apply the skills in KNIME to streamline data collection and integration processes within your business environment
  • Analyze complex datasets using KNIME’s diverse nodes and workflows to uncover hidden patterns and insights
  • Develop predictive models using KNIME’s machine learning capabilities to forecast business trends and customer behaviors
  • Enhance your organization’s reporting mechanisms by creating comprehensive visualizations and dashboards within KNIME
  • Create automated data processing workflows that reduce the need for manual intervention and increase operational efficiency

Topics & Program Outline

The curriculum is organized into focused modules built by industry experts and delivered virtually or on-premise. Interactive sessions reflect the evolving demands of the workplace, keeping the learning both relevant and practical.

  1. KNIME Analytics Platform overview
    • What is KNIME?
    • Key features and benefits
    • Overview of data science applications
  2. Installation
    • System requirements
    • Downloading and installing KNIME
    • Initial setup and configuration
  3. GUI based programming
    • Exploring the KNIME interface
    • Basic operations: Nodes, connections, and configurations
    • Tips and tricks for efficient use of the GUI
  1. Reading from a text file
    • Supported text file formats
    • Configuring file reader nodes
    • Handling different data types and delimiters
  2. Database access
    • Configuring database connectors
    • Writing SQL queries in KNIME
    • Managing database connections
  3. External REST services
    • Accessing REST APIs through KNIME
    • Parsing and processing JSON/XML data
  4. Artificial data generation
    • Techniques for generating synthetic data
    • Using KNIME nodes for data simulation
    • Applications of artificial data in testing
  1. Data visualization
    • Overview of visualization tools in KNIME
    • Customizing plots and charts
    • Visualization best practices
  2. JavaScript-based visualization
    • Integrating JavaScript visualizations
    • Interactive dashboard creation
    • Enhancing visualizations with JS libraries
  3. Data views
    • Creating and customizing data views
    • Interactive data exploration techniques
  4. Highlighting
    • Techniques for data highlighting in visualizations
    • Conditional formatting and dynamic visuals
  5. Graphics through R
    • Integrating R with KNIME for advanced graphics
    • R nodes setup and configuration
    • Example graphics and visual outputs from R
  6. ETL and data manipulation
    • Essentials of ETL processes in KNIME
    • Transforming data using KNIME nodes
  1. Data aggregations
    • Overview of aggregation methods
    • Configuring aggregation nodes
  2. Concatenation and join
    • Methods of data concatenation and joining
    • Configuring and optimizing join nodes
    • Troubleshooting common issues in data merging
  3. Data transformations
    • Common data transformation techniques
    • Custom transformations using KNIME
    • Enhancing data quality through transformations
  4. Workflow clean up
    • Managing workflow efficiency
    • Node organization and workflow optimization
    • Techniques for maintaining clean workflows
  5. DateTime manipulation
    • Handling date and time data in KNIME
    • Date and time functions and configurations
    • Practical examples of DateTime manipulation
  6. In-database processing
    • Advantages of processing data within databases
    • Setting up in-database processing in KNIME
  1. Process overview
    • Steps in the data mining process using KNIME
    • Planning and preparing for data mining projects
    • Key considerations in data mining
  2. Training and applying a decision tree
    • Building decision trees in KNIME
    • Configuring decision tree parameters
    • Applications and interpretation of decision trees
  3. Scoring a model
    • Methods of model scoring in KNIME
    • Configuring scoring nodes
    • Evaluating model performance
  4. PMML
    • Introduction to Predictive Model Markup Language
    • Exporting and importing PMML in KNIME
    • Benefits and use cases of PMML
  5. K-means clustering
    • Configuring K-means clustering in KNIME
    • Analyzing cluster results
  6. Recommendation engines
    • Building recommendation systems in KNIME
    • Techniques and algorithms for recommendations
    • Enhancing business strategies with recommendation engines
  7. Other models available
    • Overview of additional models in KNIME
    • Selecting the right model for specific needs
    • Integration and scalability of various models
  1. Overview
    • Importance of reporting in data analytics
    • Features of reporting tools in KNIME
    • Creating impactful reports
  2. BIRT integration
    • Integrating BIRT for advanced reporting
    • Customizing reports with BIRT
  3. KNIME WebPortal
    • Deploying analytics workflows on the web portal
    • Managing user access and security
    • Benefits and features of the KNIME WebPortal

Who Should Attend?

This program suits professionals at many levels across the organization, including:

  • Data Analysts
  • Business Intelligence Analysts
  • Data Scientists
  • Business Intelligence Developers
  • Business Analysts
  • IT Analysts
  • Data Engineers
  • Reporting Analysts
  • Data Visualization Specialists
  • Operations Analysts
  • Systems Analysts
  • Managers

What are the Prerequisites?

Professionals with a basic understanding of data analysis principles can take up the KNIME Analytics Platform for BI training course.

Request a Quote for your Corporate Training Requirements

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Delivering Training for Organizations across 100 Countries and 10+ Languages

Choose the Format That Fits Your Team

We design training your teams actually engage with, and deliver it the way that suits you best. Through a vetted global trainer network, Edstellar runs sessions in 10+ languages with consistent quality anywhere.

Virtual KNIME Analytics Platform for BI Training

Virtual / online: expert-led live sessions delivered anywhere, with consistency and easy scheduling.

We deliver anywhere worldwide
Standardized content for consistent outcomes
Join from own workspace, no travel
We scale to large groups across sites
Interactive tools keep remote learners engaged
On-site KNIME Analytics Platform for BI Training

On-site (in-house): immersive, instructor-led learning at your office.

Our trainers run face-to-face at your office
We tailor setup/content to your workplace and tools
Group exercises drive collaboration
Live demos +  hands-on practice
Direct trainer access to clarify doubts
Off-site KNIME Analytics Platform for BI Training

Off-site: focused, instructor-led group learning away from everyday workplace distractions.

We host your teams at a venue of your preferred choice
Built-in group activities for bonding
Full uninterrupted schedule for focus/retention
Boosts morale and signals commitment

Get a Proposal Shaped to Your Needs

Need pricing for onsite, offsite, or virtual delivery? Get a proposal tailored to your team's needs.

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        Starter
        120 licences

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        What Sets Edstellar Apart

        Experienced Trainers

        Our trainers are drawn from a vetted global network and bring years of industry expertise, keeping every session practical and impactful.

        Proven Quality

        With a strong global track record, Edstellar is known for quality and engaging delivery.

        Industry-Relevant Curriculum

        Our programs are built by experts to match the demands of today's industry.

        Fully Customizable

        Every program can be tailored to your organization's goals.

        Comprehensive Support

        We provide pre- and post-session support for a complete learning experience.

        Global Multi-Location & Multilingual Training Delivery

        We deliver in multiple languages to support diverse global teams.

        Hear from Organizations We've Trained

        "The KNIME Analytics Platform for BI course revolutionized how I approach my daily responsibilities. As a Senior Database Administrator, understanding practical applications was essential, and this training delivered invaluable real-world experience. I now handle complex technical scenarios with enhanced confidence and systematic efficiency. The instructor's insights on practical simulations have proven instrumental in my professional advancement.”

        Casey Hopkins

        Senior Database Administrator,

        Predictive Analytics Platform

        "This KNIME Analytics Platform for BI course equipped me with comprehensive industry best practices expertise that I've seamlessly integrated into our organizational practice. The hands-on modules covering interactive labs now confidently design solutions that consistently deliver measurable business results. We delivered a high-visibility enterprise project two months ahead of schedule, validating the immediate impact of this training program.”

        Rutger Janssen

        Lead Data Warehouse Engineer,

        Data Visualization Platform

        "The KNIME Analytics Platform for BI training transformed our team's entire approach to professional expertise management and execution. As a Lead AI Engineer, the extensive coverage of advanced methodologies, proven concepts to enhanced capabilities. We completed our comprehensive digital transformation initiative significantly ahead of schedule. Our team's productivity and solution quality have improved measurably, validating this investment.”

        Lata Sengupta

        Lead AI Engineer,

        Customer Insights Company

        “Edstellar’s IT & Technical training programs have been instrumental in strengthening our engineering teams and building future-ready capabilities. The hands-on approach, practical cloud scenarios, and expert guidance helped our teams improve technical depth, problem-solving skills, and execution across multiple projects. We’re excited to extend more of these impactful programs to other business units.”

        Aditi Rao

        L&D Head,

        A Global Technology Company

        Recognition That Motivates Your Team

        Upon successful completion of the training course offered by Edstellar, employees receive a course completion certificate, symbolizing their dedication to ongoing learning and professional development.

        This certificate validates the employee's acquired skills and is a powerful motivator, inspiring them to enhance their expertise further and contribute effectively to organizational success.

        Recognition That Motivates Your Team
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