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Certificate
Course Outline
Day 1:
Module 1: KNIME Analytics Platform: Overview
- Installation
- Starting and customising KNIME Analytics Platform
- Nodes, data, and workflows
- The data science cycle
Module 2: Data Access
- Read data from files
- Accessing REST services
Module 3: ETL and Data Manipulation
- Row & column filtering
- Aggregators
- Join & concatenation
- Transformation: conversion, replacement, standardisation, 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 Visualisation
- Interactive univariate visual exploration
- Interactive multivariate visual exploration
-
Advanced visualisation 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 parameterisation: 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 interpreting data.
- Experience with fundamental data processing.
Audience
- Data analysts
- Data scientists
- Business analysts
21 Hours
Testimonials (2)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
Radomir was very patient and helpful when I got stuck. He was very knowledgeable about the subject matter, and his explanations on different concepts were detailed and thorough.
