Course Outline

Day 1:

Module 1: KNIME Analytics Platform: Overview

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

Module 2: Data Access

  • Read Data from file
  • Accessing REST Services

Module 3: ETL and Data Manipulation

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

Day 2:

Module 4: Exporting Data

  • Write to a file
  • Generating a Report

Module 5: Data Visualization

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

Module 6: Predictive Analytics using KNIME

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

Day 3:

Module 7: Controlling the flow

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

Module 8: Hands on KNIME Analytics Platform based Case Study
 

Requirements

Recommended

  • A basic understanding of making sense of the data.
  • Experience with fundamental data processing.

Audience

  • data analysts
  • data scientists
  • business analysts
  21 Hours
 

Testimonials

Related Courses

Anaconda Ecosystem for Data Scientists

  14 hours

Big Data Business Intelligence for Telecom and Communication Service Providers

  35 hours

Data Science Programme

  245 hours

Data Science for Big Data Analytics

  35 hours

Data Science essential for Marketing/Sales professionals

  21 hours

Jupyter for Data Science Teams

  7 hours

MATLAB Fundamentals, Data Science & Report Generation

  35 hours

Python Programming for Finance

  35 hours

F# for Data Science

  21 hours

Kaggle

  14 hours

KNIME Analytics Platform for BI

  21 hours

KNIME with Python and R for Machine Learning

  14 hours

Data Science Implementation Management using KNIME Server

  14 hours

Accelerating Python Pandas Workflows with Modin

  14 hours

GPU Data Science with NVIDIA RAPIDS

  14 hours