Introduction

KNIME for Visual Data Science Training Course empowers professionals to seamlessly integrate data preparation, advanced analytics, and machine learning into intuitive, visual workflows. This course is designed for learners to gain hands-on expertise in transforming raw data into meaningful visualizations, predictive models, and automated processes without extensive coding experience. Leveraging KNIME’s cutting-edge platform, participants will master techniques to streamline data analysis, enhance decision-making, and optimize business intelligence initiatives.

Through this training, participants will explore end-to-end data science workflows, including data integration, visualization, predictive modeling, and deployment, using a robust and scalable environment. The program emphasizes practical case studies, real-world datasets, and interactive exercises, ensuring learners develop competencies that directly translate to professional success. By the end of the course, attendees will be proficient in harnessing KNIME to solve complex business problems, optimize operational efficiency, and generate insightful visual storytelling from data.

Programme Curriculum

KNIME for Visual Data Science Training Course

Introduction

Course Duration

5 days

Course Objectives

Master KNIME Analytics Platform for visual data science.
Build end-to-end data workflows for structured and unstructured datasets.
Implement data preprocessing and feature engineering for accurate models.
Create interactive dashboards and dynamic visualizations.
Apply predictive analytics using machine learning algorithms.
Conduct advanced data mining for actionable business insights.
Automate repetitive data processes with workflow automation.
Perform text analytics and sentiment analysis on social media and text data.
Integrate Python, R, and SQL nodes for advanced analytics.
Leverage real-world case studies for hands-on problem solving.
Deploy models and workflows for business intelligence applications.
Understand data governance, quality, and reproducibility best practices.
Enhance decision-making capabilities with data-driven storytelling.

Target Audience

Data Scientists & Analysts
Business Intelligence Professionals
Machine Learning Enthusiasts
Marketing Analysts
IT Professionals & Developers
Research Scholars & Academicians
Project Managers & Decision Makers
Anyone interested in visual and predictive analytics

Course Modules

Module 1: Introduction to KNIME and Visual Data Science

Overview of KNIME Analytics Platform
Understanding visual workflows
Introduction to nodes and data pipelines
Setting up your workspace
Case Study: Sales Data Exploration

Module 2: Data Integration and Preprocessing

Importing structured and unstructured data
Handling missing values and outliers
Data transformation and normalization
Combining multiple datasets
Case Study: Customer Data Cleansing

Module 3: Data Visualization Techniques

Creating interactive charts and graphs
Advanced visual analytics techniques
Conditional formatting for dashboards
Geospatial and time-series visualizations
Case Study: Marketing Campaign Performance Dashboard

Module 4: Feature Engineering & Selection

Understanding feature importance
Creating derived variables
Dimensionality reduction techniques
Handling categorical and numerical features
Case Study: Predicting Customer Churn

Module 5: Machine Learning with KNIME

Overview of supervised and unsupervised learning
Implementing classification and regression models
Model evaluation and cross-validation
Optimizing algorithms with hyperparameter tuning
Case Study: Credit Risk Scoring

Module 6: Text Mining and Sentiment Analysis

Importing and preprocessing text data
Applying NLP techniques
Sentiment scoring and topic modeling
Integrating social media analytics
Case Study: Product Review Analysis

Module 7: Workflow Automation & Advanced Analytics

Automating repetitive workflows
Integrating Python, R, and SQL scripts
Scheduling tasks and workflow monitoring
Building reusable workflow templates
Case Study: Automated Reporting System

Module 8: Deployment and Business Applications

Deploying models for decision support
Creating interactive dashboards for executives
Data governance and workflow reproducibility
Applying KNIME in real-world business scenarios
Case Study: Sales Forecasting & Inventory Optimization

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Visual workflows Data preprocessing Analytics automation Model building

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000