Get in Touch

award icon svg Certificate

 Duration 21 hours

Course Outline

Day 1:

Module 1: KNIME Analytics Platform: Introduction

  • Software installation procedures
  • Initializing and customizing the KNIME Analytics Platform environment
  • Understanding nodes, data structures, and workflow architecture
  • Overview of the data science lifecycle

Module 2: Data Access

  • Importing data from local files
  • Interfacing with REST-based services

Module 3: ETL and Data Manipulation

  • Filtering by row and column criteria
  • Utilizing aggregation techniques
  • Executing joins and data concatenation
  • Data transformation: type conversion, value replacement, standardization, and feature engineering
  • Preparing datasets for time series analysis

Day 2:

Module 4: Data Export

  • Writing output to file systems
  • Generating analytical reports

Module 5: Data Visualization

  • Interactive univariate visual analysis
  • Interactive multivariate visual analysis
  • Advanced visualization capabilities
     

Module 6: Predictive Analytics with KNIME

  • Foundational data mining principles
  • Regression analysis methods
  • Decision tree algorithms
  • Model performance evaluation

Day 3:

Module 7: Workflow Control

  • Workflow parameterization using flow variables
  • Iterative execution of workflow components via loops
  • Optimizing and maintaining workflow clarity

Module 8: Practical Case Study on KNIME Analytics Platform
 

Requirements

Recommended

  • A basic understanding of data interpretation.
  • Experience with fundamental data processing techniques.

Audience

  • Data analysts
  • Data scientists
  • Business analysts

Number of participants


Price per participant

Testimonials (3)

Upcoming Courses

Related Categories