Data Science with KNIME Analytics Platform Training Course
KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.
This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows
This instructor-led, live training (online or onsite) is aimed at data professionals who wish to use KNIME to solve complex business needs.
It is targeted for the audience that doesn't know programming and intends to use cutting edge tools to implement analytics scenarios
By the end of this training, participants will be able to:
- Install and configure KNIME.
- Build Data Science scenarios
- Train, test and validate models
- Implement end to end value chain of data science models
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course or to know more on this program, please contact us to arrange.
Certificate
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
Open Training Courses require 5+ participants.
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Testimonials (5)
Understanding big data beter
Shaune Dennis - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
Machine learning, python, data manipulation
Siphelo Mapolisa - University Of South Africa
Course - Data Science: Analysis and Presentation
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It is great to have the course custom made to the key areas that I have highlighted in the pre-course questionnaire. This really helps to address the questions that I have with the subject matter and to align with my learning goals.
Winnie Chan - Statistics Canada
Course - Jupyter for Data Science Teams
The example and training material were sufficient and made it easy to understand what you are doing.
Teboho Makenete
Course - Data Science for Big Data Analytics
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