Data Science with KNIME Analytics Training

Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Data Science with KNIME Analytics Training Course Overview

Accelerate your data analytics career with Data Science using KNIME Analytics Training by Multisoft Systems. This expert-led program helps you build, analyze, and automate workflows using KNIME’s intuitive interface. Learn data mining, machine learning, and visualization to transform raw data into actionable insights for smarter business decisions. Enroll today to become a KNIME expert!

The Data Science with KNIME Analytics Training by Multisoft Systems is designed to help professionals and beginners harness the power of KNIME’s open-source analytics platform for data-driven decision-making. KNIME (Konstanz Information Miner) is a powerful, user-friendly tool that allows users to create data workflows visually — without the need for extensive programming knowledge. This comprehensive training covers essential aspects of data science, including data import, cleaning, transformation, modeling, visualization, and deployment. Participants will learn to integrate various data sources, apply statistical and machine learning models, and generate meaningful insights using KNIME’s drag-and-drop interface. Real-world case studies and hands-on exercises ensure learners gain practical experience in predictive analytics, data mining, and business intelligence.

The course is ideal for data analysts, business intelligence professionals, and aspiring data scientists looking to simplify complex data workflows. By the end of the training, participants will be able to design efficient analytical pipelines, automate repetitive tasks, and visualize results effectively. With guidance from industry experts at Multisoft Systems, learners will acquire both the conceptual understanding and practical skills needed to excel in today’s data-centric world — making them well-prepared for roles in analytics, data science, and machine learning.

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Data Science with KNIME Analytics Training Course curriculum

Curriculum Designed by Experts

Accelerate your data analytics career with Data Science using KNIME Analytics Training by Multisoft Systems. This expert-led program helps you build, analyze, and automate workflows using KNIME’s intuitive interface. Learn data mining, machine learning, and visualization to transform raw data into actionable insights for smarter business decisions. Enroll today to become a KNIME expert!

The Data Science with KNIME Analytics Training by Multisoft Systems is designed to help professionals and beginners harness the power of KNIME’s open-source analytics platform for data-driven decision-making. KNIME (Konstanz Information Miner) is a powerful, user-friendly tool that allows users to create data workflows visually — without the need for extensive programming knowledge. This comprehensive training covers essential aspects of data science, including data import, cleaning, transformation, modeling, visualization, and deployment. Participants will learn to integrate various data sources, apply statistical and machine learning models, and generate meaningful insights using KNIME’s drag-and-drop interface. Real-world case studies and hands-on exercises ensure learners gain practical experience in predictive analytics, data mining, and business intelligence.

The course is ideal for data analysts, business intelligence professionals, and aspiring data scientists looking to simplify complex data workflows. By the end of the training, participants will be able to design efficient analytical pipelines, automate repetitive tasks, and visualize results effectively. With guidance from industry experts at Multisoft Systems, learners will acquire both the conceptual understanding and practical skills needed to excel in today’s data-centric world — making them well-prepared for roles in analytics, data science, and machine learning.

  • To introduce learners to the KNIME Analytics Platform and its role in data science and business analytics.
  • To develop the ability to build, manage, and automate visual workflows for data preparation and transformation.
  • To provide hands-on experience in data integration, cleaning, and blending from multiple sources.
  • To enable participants to apply machine learning and predictive modeling using KNIME’s built-in nodes and extensions.
  • To enhance understanding of data visualization and reporting techniques for better decision-making.
  • To train professionals to automate repetitive analytics tasks and improve process efficiency.
  • To build proficiency in deploying analytical workflows and integrating KNIME with Python, R, and other tools.
  • To equip learners with practical skills for solving real-world business problems through data-driven approaches.

Course Prerequisite

  • Basic understanding of data analysis and statistics
  • Familiarity with Excel or any data-handling tools
  • Fundamental knowledge of data visualization concepts

Course Target Audience

  • Data Analysts
  • Business Intelligence (BI) Professionals
  • Data Scientists (Beginner to Intermediate level)
  • Machine Learning Enthusiasts
  • Statisticians and Data Engineers
  • Database Administrators
  • ETL Developers
  • Business and Financial Analysts
  • Students and Graduates in Data Science or Computer Science
  • Professionals transitioning to Data Analytics roles
  • Project Managers working on Data-Driven Projects

Course Content

  • Installation
  • Starting and customizing KNIME Analytics Platform
  • Nodes, data and workflows
  • The data science cycle

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  • Read Data from file
  • Accessing REST Services

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  • Row & Column filtering
  • Aggregators
  • Join & Concatenation
  • Transformation: Conversion, Replacement, Standardization, and New Feature Generation
  • Data Preparation for Time Series Analysis

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  • Write to a file
  • Generating a Report

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  • Interactive Univariate Visual Exploration
  • Interactive Multivariate Visual Exploration
  • Advanced Visualization Features 

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  • Data Mining Basic Concepts
  • Regressions
  • Decision Tree Family
  • Model Evaluation

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  • Workflow Parameterization: Flow Variables
  • Re-executing Workflow Parts: Loops
  • Cleaning up your Workflow

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Data Science with KNIME Analytics Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Data Science with KNIME Analytics Corporate Training

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360º Learning Solution

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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Data Science with KNIME Analytics Training FAQ's

KNIME (Konstanz Information Miner) is an open-source data analytics, reporting, and integration platform that enables users to build workflows visually for data preparation, analysis, and modeling—without the need for coding.

This course is ideal for data analysts, BI professionals, data scientists, and anyone interested in learning data analytics and machine learning using a visual, drag-and-drop interface.

No. KNIME is designed for both technical and non-technical users. Its visual workflow interface eliminates the need for coding, though basic analytical understanding helps.

The training covers the KNIME Analytics Platform, data preparation, integration, transformation, visualization, and machine learning modules with optional integrations for Python and R.

To contact Multisoft Systems you can mail us on info@multisoftsystems.com or can call for course enquiry on this number +91 9810306956

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