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Data Science with KNIME Analytics Platform Training

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

Empower your teams with expert-led on-site/in-house or virtual/online Data Science with KNIME Analytics Platform Training through Edstellar, a premier corporate training company for organizations globally. Our tailored Data Science with KNIME Analytics Platform corporate training course equips your employees with the skills, knowledge, and cutting-edge tools needed for success. Designed to meet your specific needs, this Data Science with KNIME Analytics Platform group training program ensures your team is primed to drive your business goals. Transform your workforce into a beacon of productivity and efficiency.

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.

Key Skills Employees Gain from Data Science with KNIME Analytics Platform Training

Data Science with KNIME Analytics Platform skills corporate training will enable teams to effectively apply their learnings at work.

  • Data Wrangling
  • Data Exploration
  • Machine Learning
  • Data Visualization
  • Workflow Automation
  • Predictive Analytics

Key Learning Outcomes of Data Science with KNIME Analytics Platform Training

Edstellar’s Data Science with KNIME Analytics Platform training for employees will not only help your teams to acquire fundamental skills but also attain invaluable learning outcomes, enhancing their proficiency and enabling application of knowledge in a professional environment. By completing our Data Science with KNIME Analytics Platform workshop, teams will to master essential Data Science with KNIME Analytics Platform and also focus on introducing key concepts and principles related to Data Science with KNIME Analytics Platform at work.


Employees who complete Data Science with KNIME Analytics Platform training will be able to:

  • 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

Key Benefits of the Data Science with KNIME Analytics Platform Corporate Training

Attending our Data Science with KNIME Analytics Platform classes tailored for corporations offers numerous advantages. Through our on-site/in-house or virtual/online Data Science with KNIME Analytics Platform training classes, participants will gain confidence and comprehensive insights, enhance their skills, and gain a deeper understanding of Data Science with KNIME Analytics Platform.

  • Learn advanced data preprocessing techniques, equipping employees with the skills to clean and transform diverse datasets efficiently using the KNIME Analytics Platform
  • Learn to design interactive visualizations and dashboards in KNIME to communicate insights effectively and cater to diverse stakeholders' needs in decision-making processes
  • Explore KNIME's workflow automation capabilities to streamline data processing pipelines, enabling you to deploy scalable solutions for large-scale data analysis tasks in professional settings
  • Equip yourself with the ability to construct and optimize predictive models using KNIME's machine learning algorithms, empowering you to derive actionable insights and make data-driven decisions in various professional domains
  • Develop proficiency in feature engineering within KNIME, exploring techniques to extract meaningful patterns and enhance model performance, thereby addressing complex business challenges encountered in real-world data science projects

Topics and Outline of Data Science with KNIME Analytics Platform Training

Our virtual and on-premise Data Science with KNIME Analytics Platform training curriculum is divided into multiple modules designed by industry experts. This Data Science with KNIME Analytics Platform training for organizations provides an interactive learning experience focused on the dynamic demands of the field, making it relevant and practical.

  1. Installation
    • System requirements and prerequisites
    • Step-by-step installation guide for Windows, macOS, and Linux
    • Troubleshooting common installation issues
  2. Starting and customizing the KNIME Analytics Platform
    • Navigating the KNIME user interface
    • Customizing preferences and settings
    • Managing KNIME extensions and updates
  3. Nodes, data, and workflows
    • Understanding nodes and node types
    • Creating and managing workflows
    • Connecting and configuring nodes
    • Handling data inputs and outputs
  4. The data science cycle
    • Introduction to the data science workflow
    • Key stages: Data collection, data cleaning, data analysis, model building, and deployment
  1. Read data from the file
    • Importing data from various file formats
    • Handling different data structures
    • Configuring read options and settings
  2. Accessing REST services
    • Introduction to REST APIs
    • Retrieving data from web services
    • Authentication and authorization methods for REST APIs
  1. Row & column filtering
    • Filtering data based on specific criteria
    • Removing duplicates and irrelevant rows
    • Configuring filter conditions
  2. Aggregators
    • Summarizing data using aggregate functions
    • Calculating statistics such as mean, median, and mode
    • Grouping data for aggregation
  3. 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
  4. 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
  5. Data preparation for time series analysis
    • Preprocessing time series data
    • Handling timestamps and time intervals
    • Resampling and interpolation techniques for time series data
  1. 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
  2. Generating a report
    • Creating and customizing report templates
    • Adding visualizations and summaries to reports
    • Automating report generation and distribution
  1. Interactive univariate visual exploration
    • Visualizing single variables using histograms, bar charts, etc
    • Adding interactivity to explore data distributions
    • Customizing visualizations for insights discovery
  2. 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
  3. Advanced visualization features
    • Utilizing advanced plotting libraries and techniques
    • Creating interactive dashboards for data exploration
    • Incorporating geographical and temporal data visualization techniques
  1. Data mining basic concepts
    • Introduction to data mining and predictive analytics
    • Understanding key concepts such as classification, clustering, and association rules
  2. Regressions
    • Building regression models to predict continuous outcomes
    • Evaluating model performance using regression metrics
  3. Decision tree family
    • Understanding decision tree algorithms (e.g., CART, Random Forest)
    • Building decision tree models for classification and regression tasks
  4. Model evaluation
    • Assessing model performance using evaluation metrics
    • Techniques for cross-validation and model selection
    • Interpreting model results and making predictions
  1. Workflow parameterization: Flow variables
    • Using flow variables to parameterize workflows
    • Dynamically controlling workflow behavior based on variables
  2. Re-executing workflow parts: Loops
    • Implementing loops for iterative processing in workflows
    • Configuring loop start and end nodes
    • Handling loop data and iteration steps
  3. Cleaning up workflow
    • Organizing and optimizing workflows for efficiency
    • Removing redundant nodes and connections
    • Documenting workflows for clarity and reproducibility

Target Audience for Data Science with KNIME Analytics Platform Training Course

The Data Science with KNIME Analytics Platform training course is ideal for data analysts, data scientists, business analysts, machine learning engineers, IT professionals, data engineers, and project managers.

The Data Science with KNIME Analytics Platform training program can also be taken by professionals at various levels in the organization.

  • Data Science with KNIME Analytics Platform training for managers
  • Data Science with KNIME Analytics Platform training for staff
  • Data Science with KNIME Analytics Platform training for leaders
  • Data Science with KNIME Analytics Platform training for executives
  • Data Science with KNIME Analytics Platform training for workers
  • Data Science with KNIME Analytics Platform training for businesses
  • Data Science with KNIME Analytics Platform training for beginners
  • Data Science with KNIME Analytics Platform group training
  • Data Science with KNIME Analytics Platform training for teams
  • Data Science with KNIME Analytics Platform short course

Prerequisites for Data Science with KNIME Analytics Platform Training

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.

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Corporate Training Delivery Modes
for Data Science with KNIME Analytics Platform Training

At Edstellar, we understand the importance of impactful and engaging training for employees. To ensure the training is more interactive, we offer Face-to-Face onsite/in-house or virtual/online for companies. This approach has proven to be effective, outcome-oriented, and produces a well-rounded training experience for your teams.

 Virtual trainig

Our virtual training sessions bring expert-led, high-quality training to your teams anywhere, ensuring consistency and seamless integration into their schedules.

With global reach, your employees can get trained from various locations
The consistent training quality ensures uniform learning outcomes
Participants can attend training in their own space without the need for traveling
Organizations can scale learning by accommodating large groups of participants
Interactive tools can be used to enhance learning engagement
 On-site trainig

Edstellar's onsite training delivers immersive and insightful learning experiences right in the comfort of your office.

Higher engagement and better learning experience through face-to-face interaction
Workplace environment can be tailored to learning requirements
Team collaboration and knowledge sharing improves training effectiveness
Demonstration of processes for hands-on learning and better understanding
Participants can get their doubts clarified and gain valuable insights through direct interaction
 Off-site trainig

Edstellar's off-site training programs offer a unique opportunity for teams to immerse themselves in focused and dynamic learning environments away from their usual workplace distractions.

Distraction-free environment improves learning engagement
Team bonding can be improved through activities
Dedicated schedule for training away from office set up can improve learning effectiveness
Boosts employee morale and reflects organization's commitment to employee development
Testimonials

What Our Clients Say

We pride ourselves on delivering exceptional training solutions. Here's what our clients have to say about their experiences with Edstellar.

"Edstellar's IT Service Management training has been transformative. Our IT teams have seen significant improvements through multiple courses delivered at our office by expert trainers. Excellent feedback has prompted us to extend the training to other teams."

Liam Anderson
HR Head,
A Global Technology Company

"Edstellar's quality and process improvement training courses have been fantastic for our team of quality engineers, process engineers and production managers. It’s helped us improve quality and streamline manufacturing processes. Looking ahead, we’re excited about taking advanced courses in quality management, and project management, to keep improving in the upcoming months."

David Park
Operational Manager,
A Global High-Tech Engineering and Manufacturing Company

"Partnering with Edstellar for web development training was crucial for our project requirements. The training has equipped our developers with the necessary skills to excel in these technologies. We're excited about the improved productivity and quality in our projects and plan to continue with advanced courses."

Carlos Fernandez
Technical lead,
Global e-Learning Company

"Partnering with Edstellar for onsite ITSM training courses was transformative. The training was taken by around 80 IT service managers, project managers, and operations managers, over 6 months. This has significantly improved our service delivery and standardized our processes. We’ve planned the future training sessions with the company."

Ewan MacLeod
IT Director,
Innovative IT Company

"Partnering with Edstellar for onsite training has made a major impact on our team. Our team, including quality assurance, customer support, and finance professionals have greatly benefited. We've completed three training sessions, and Edstellar has proven to be a reliable training partner. We're excited for future sessions."

Rajesh Mehta
Operational Manager,
Sustainable Mobility Company

"Edstellar's online training on quality management was excellent for our quality engineers and plant managers. The scheduling and coordination of training sessions was smooth. The skills gained have been successfully implemented at our plant, enhancing our operations. We're looking forward to future training sessions."

David Harris
Head of Quality Assurance,
Leading IT Services Company

"Edstellar's online AI and Robotics training was fantastic for our 15 engineers and technical specialists. The expert trainers and flexible scheduling across different time zones were perfect for our global team. We're thrilled with the results and look forward to future sessions."

John Smith
Head of Technology Development,
Defense Technology Company

"Edstellar's onsite process improvement training was fantastic for our team of 20 members, including managers from manufacturing, and supply chain management. The innovative approach, and comprehensive case studies with real-life examples were highly appreciated. We're excited about the skills gained and look forward to future training."

James Carter
Head of Operations,
Global Food Company

"Edstellar's professional development training courses were fantastic for our 50+ team members, including developers, project managers, and consultants. The multiple online sessions delivered over several months were well-coordinated, and the trainer's methodologies were highly effective. We're excited to continue our annual training with Edstellar."

John Davis
Head of Training and Development,
Leading Tech Consultancy

"Edstellar's IT service management training for our 30 team members, including IT managers, support staff, and network engineers, was outstanding. The onsite sessions conducted over three months were well-organized, and it helped our team take the exams. We are happy about the training and look forward to future collaborations."

John Roberts
Head of IT Operations,
Leading Broadband Provider

"Edstellar's office productivity training for our 40+ executives, including project managers and business analysts, was exceptional. The onsite sessions were well-organized, teaching effective tool use with practical approaches and relevant case studies. Everyone was delighted with the training, and we're eager for more future sessions."

Andrew Scott
Head of Training and Development,
Leading Real Estate Firm

"Edstellar's quality management training over 8 months for our 15+ engineers and quality control specialists was outstanding. The courses addressed our need for improved diagnostic solutions, and the online sessions were well-organized and effectively managed. We're thrilled with the results and look forward to more."

Olivia Martin
Head of Quality Assurance,
Innovative Diagnostics Solutions Provider

"Edstellar's digital marketing training for our small team of 10, including content writers, SEO analysts, and digital marketers, was exactly what we needed. The courses delivered over a few months addressed our SEO needs, and the online sessions were well-managed. We're very happy with the results and look forward to more."

Emily Brown
Head of Digital Marketing,
Leading Market Research Firm

"Edstellar's telecommunications training was perfect for our small team of 12 network engineers and system architects. The multiple online courses delivered over a few months addressed our needs for network optimization and cloud deployment. The training was well-managed, and the case studies were very insightful. We're thrilled with the outcome."

Matthew Lee
Head of Network Services,
Leading Telecom Solutions Provider

"Edstellar's professional development training was fantastic for our 50+ participants, including team leaders, analysts, and support staff. Over several months, multiple courses were well-managed and delivered as per the plan. The trainers effectively explained topics with insightful case studies and exercises. We're happy with the training and look forward to more."

Sarah Mitchell
Head of Training and Development,
Leading Outsourcing Firm

Course Completion Certificate

Upon successful completion of the Data Science with KNIME Analytics Platform 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.

Course Completion Certificate

Meet Our Elite Trainers

The instructor-led training is conducted by certified trainers with extensive expertise in the field. Participants will benefit from the instructor's vast knowledge, gaining valuable insights and practical skills essential for success in Access practices.

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