KNIME LEARNATHON - PERTH

 

KNIME Learnathon | Install KNIME | Location

Rated Leader in Gartner's magic quadrant 6 years in a row. Learn about the open source, self-service machine learning, data cleansing platform at our Learnathon and Meetup events.

 
 
 

LEARNATHON DETAILS

DATE: 1st August, 2019

TIME: Registrations from 8:30am  |  Sessions commence 9:00am

WHERE: The Cluster, Melbourne (Queens Street)

COST: Free

Join us this June at the next free Data Science Learnathon in Perth where we will be joined by Senior Data Analytics Consultant, Heshan Henry and Director of Analytics and Product Strategy, Craig Cullum for a morning of workflow-based hands-on KNIME exercises.

Find out how you can transform your data engineers and data scientist approach with hands on exercises. You’ll learn how to; Navigate the KNIME analytics platform with hints and tips along the way. Connect to data sources including Excel, popular databases and cloud data sources. Perform data cleansing, transformation ready for analytics and machine learning. Apply AI with the latest Machine Learning algorithms. Visualise your results within KNIME or your chosen Business Intelligence tool.

  • Navigate the KNIME analytics platform with hints and tips along the way.

  • Connect to data sources including Excel, popular databases and cloud data sources.

  • Perform data cleansing, transformation ready for analytics and machine learning.

  • Apply AI with the latest Machine Learning algorithms.

  • Visualise your results within KNIME or your chosen Business Intelligence tool.

 

LEARNATHON AGENDA


09:00 – 09:15

Welcome and Introduction

09:15 – 09:45

Introduction to KNIME Analytics Platform

09:45 – 10:10

The Data Science Cycle: From raw data to deployment

10:10 – 12:20

Let’s work and learn

12:30 – 13:00

Networking


 

INSTALL KNIME

To install KNIME Analytics Platform, follow the instructions provided in these YouTube videos:

Windows

Mac

Linux

Learn more about KNIME


 

LOCATION

The Clusters - Level 17, 31 Queen Street, Melbourne VIC 3000