Corporate Data Science with KNIME Analytics Platform Training Course

Name: Data Science with KNIME Analytics Platform Training
Availability: InStock

Edstellar's instructor-led Data Science with KNIME Analytics Platform training course empowers teams with data analysis and modeling skills to achieve actionable insights and drive organizational decision-making. The course equips employees to optimize processes, identify opportunities, and enhance efficiency across various business functions.

Duration

24 - 32 hrs

Delivery Type

Instructor-led Group Training
(Virtual / On-site / Off-site)

Training Available in

10 Languages

Multiple Locations

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About Learning Outcomes Key Benefits Course Outline Target Audience Training Modes Certificate Trainers Request a Training Quote

Drive Team Excellence with Data Science with KNIME Analytics Platform Corporate Training

Data Science with KNIME Analytics Platform involves utilizing the KNIME software to perform data analysis, predictive analytics, and machine learning tasks through a visual and modular interface. It is crucial for organizations as it offers a user-friendly environment for data analysis, enabling data-driven decision-making, insights generation, and automation of repetitive tasks, thereby improving efficiency and competitiveness. Data Science with KNIME Analytics Platform training course equips individuals with the skills to harness the power of data through intuitive visual workflows, enabling them to analyze, visualize, and interpret data effectively for actionable insights.

Edstellar's instructor-led Data Science with KNIME Analytics Platform training course stands out due to its flexible virtual/onsite delivery options, expert trainers with extensive industry experience, and a curriculum tailored to your organization's specific needs. The training covers the fundamental aspects of KNIME and advanced techniques, ensuring employees are well-prepared to tackle real-world data challenges.

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

Skills Your Employees Will Gain

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

Data Wrangling
Data Wrangling is the process of cleaning, transforming, and organizing raw data into a usable format. This skill is important for data analysts and scientists to derive insights effectively.
Data Exploration
Data Exploration is the process of analyzing datasets to uncover patterns, trends, and insights. This skill is important for data analysts and scientists to inform decision-making.
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.
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.
Workflow Automation
Workflow Automation is the use of technology to streamline and automate repetitive tasks, enhancing efficiency. This skill is important for roles in project management and operations, as it reduces errors and saves time.
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 advanced data preprocessing techniques using KNIME to clean and prepare diverse datasets for analysis, mirroring real-world scenarios encountered in professional data science projects
Utilize KNIME's workflow automation capabilities to streamline data processing pipelines, enabling efficient deployment of scalable solutions for large-scale data analysis tasks in professional settings
Construct and optimize predictive models using KNIME's machine learning algorithms, integrating domain knowledge to address complex business challenges faced by professionals in various industries
Implement effective feature engineering strategies within KNIME to extract relevant information from raw data, enhancing model performance and interpretability in real-world applications
Implement data mining techniques such as text mining and sentiment analysis using KNIME Text Processing extensions, addressing nuanced challenges in unstructured data analysis encountered in professional contexts

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.

KNIME Analytics Platform: Overview

Installation
- System requirements and prerequisites
- Step-by-step installation guide for Windows, macOS, and Linux
- Troubleshooting common installation issues
Starting and customizing the KNIME Analytics Platform
- Navigating the KNIME user interface
- Customizing preferences and settings
- Managing KNIME extensions and updates
Nodes, data, and workflows
- Understanding nodes and node types
- Creating and managing workflows
- Connecting and configuring nodes
- Handling data inputs and outputs
The data science cycle
- Introduction to the data science workflow
- Key stages: Data collection, data cleaning, data analysis, model building, and deployment

Data Access

Read data from the file
- Importing data from various file formats
- Handling different data structures
- Configuring read options and settings
Accessing REST services
- Introduction to REST APIs
- Retrieving data from web services
- Authentication and authorization methods for REST APIs

ETL and Data Manipulation

Row & column filtering
- Filtering data based on specific criteria
- Removing duplicates and irrelevant rows
- Configuring filter conditions
Aggregators
- Summarizing data using aggregate functions
- Calculating statistics such as mean, median, and mode
- Grouping data for aggregation
Join & concatenation
- Combining datasets using different join types (inner, outer, left, right)
- Concatenating rows or columns from multiple datasets
- Handling join keys and merge options
Transformation: Conversion, replacement, standardization, and new feature generation
- Converting data types (e.g., string to numeric)
- Replacing missing or invalid values
- Standardizing data formats and units
- Generating new features from existing data
Data preparation for time series analysis
- Preprocessing time series data
- Handling timestamps and time intervals
- Resampling and interpolation techniques for time series data

Exporting Data

Write to a file
- Exporting data to various file formats (CSV, Excel, JSON, etc.)
- Configuring export options and settings
- Saving output files to local or network drives
Generating a report
- Creating and customizing report templates
- Adding visualizations and summaries to reports
- Automating report generation and distribution

Data Visualization

Interactive univariate visual exploration
- Visualizing single variables using histograms, bar charts, etc
- Adding interactivity to explore data distributions
- Customizing visualizations for insights discovery
Interactive multivariate visual exploration
- Visualizing relationships between multiple variables
- Using scatter plots, heatmaps, etc., for multivariate analysis
- Interactive features for drilling down into complex datasets
Advanced visualization features
- Utilizing advanced plotting libraries and techniques
- Creating interactive dashboards for data exploration
- Incorporating geographical and temporal data visualization techniques

Predictive Analytics using KNIME

Data mining basic concepts
- Introduction to data mining and predictive analytics
- Understanding key concepts such as classification, clustering, and association rules
Regressions
- Building regression models to predict continuous outcomes
- Evaluating model performance using regression metrics
Decision tree family
- Understanding decision tree algorithms (e.g., CART, Random Forest)
- Building decision tree models for classification and regression tasks
Model evaluation
- Assessing model performance using evaluation metrics
- Techniques for cross-validation and model selection
- Interpreting model results and making predictions

Controlling the Flow

Workflow parameterization: Flow variables
- Using flow variables to parameterize workflows
- Dynamically controlling workflow behavior based on variables
Re-executing workflow parts: Loops
- Implementing loops for iterative processing in workflows
- Configuring loop start and end nodes
- Handling loop data and iteration steps
Cleaning up workflow
- Organizing and optimizing workflows for efficiency
- Removing redundant nodes and connections
- Documenting workflows for clarity and reproducibility

Who Should Attend?

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

Data Scientists
Data Analysts
Business Analysts
Machine Learning Engineers
AI Researchers
Data Engineers
Quantitative Analysts
Bioinformaticians
Statisticians
Econometricians
Computational Scientists
Managers

What are the Prerequisites?

Employees with a basic understanding of data science concepts and experience with fundamental data processing can take the Data Science with KNIME Analytics Platform training course.

Request a Quote for your Corporate Training Requirements

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 Data Science with KNIME Analytics Platform 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

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On-site Data Science with KNIME Analytics Platform 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

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Off-site Data Science with KNIME Analytics Platform 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

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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 Data Science with KNIME Analytics Platform course revolutionized how I approach my daily responsibilities. As a Lead AI Engineer, understanding strategic frameworks was essential, and this training delivered invaluable real-world experience. My ability to architect solutions and solve complex problems has improved substantially. The instructor's insights on real-world case studies have proven instrumental in my professional advancement.”

Mathew Bradley

Lead AI Engineer,

Business Intelligence Platform

"This Data Science with KNIME Analytics Platform course was precisely what I needed to design robust strategic implementation architectures. The hands-on approach to practical simulations and seamless integration with projects using advanced techniques from this training. We've successfully expanded our service portfolio based on these enhanced capabilities. The comprehensive curriculum has elevated my solution delivery capabilities significantly.”

Li Qiang

Lead Data Scientist,

Predictive Modeling Solutions Firm

"The Data Science with KNIME Analytics Platform training gave our team advanced industry best practices expertise that revolutionized our professional expertise approach. As a Senior Database Administrator, understanding hands-on exercises our entire portfolio. Our team's capability maturity level increased by three full stages within six months. This training has become foundational to our team's strategic capabilities and continued growth.”

Sita Samuel

Senior Database Administrator,

Advanced Analytics Platform Provider

“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.

Corporate Data Science with KNIME Analytics Platform Training Course

Drive Team Excellence with Data Science with KNIME Analytics Platform Corporate Training

Skills Your Employees Will Gain

What Your Team Will Achieve After This Training

Topics & Program Outline

KNIME Analytics Platform: Overview

Data Access

ETL and Data Manipulation

Exporting Data

Data Visualization

Predictive Analytics using KNIME

Controlling the Flow

Who Should Attend?

What are the Prerequisites?

Choose the Format That Fits Your Team

Get a Proposal Shaped to Your Needs

What Sets Edstellar Apart

Experienced Trainers

Proven Quality

Industry-Relevant Curriculum

Fully Customizable

Comprehensive Support

Global Multi-Location & Multilingual Training Delivery

Hear from Organizations We've Trained

Recognition That Motivates Your Team

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