DISCOVER THE POWER OF KNIME

Details | Agenda | Install KNIME

 
 
 
 

Gartner's number 1 open source, self-service data connectivity and data consolidation platform.

 
 

PERTH

DATE: 14 November, 2018

TIME: Registrations from 1:45pm  |  Sessions commence 2:00pm

WHERE: Perth Convention Centre (Mounts Bay Road)

COST: Free

 

MELBOURNE

DATE: 16 November, 2018

TIME: Registrations from 1:45pm  |  Sessions commence 2:00pm

WHERE: Cliftons, Melbourne (Collins Street)

COST: Free

Join us this November at the next free Data Science Learnathon in Perth and Melbourne where we will be joined by two of KNIME's very own Data Scientists, Kilian Thiel and Vincenzo Tursi for an afternoon of workflow-based hands-on KNIME exercises.

What is a learnathon? It's between a hackathon and a workshop. It's like a workshop because we'll learn more about the data science cycle - data access, data blending, data preparation, model training, optimization, testing, and deployment. It's like a hackathon because we'll work in groups to hack a workflow-based solution to guided exercises. The tool of choice for this learnathon is KNIME Analytics Platform.

KNIME Analytics Platform is an open, open-source, GUI driven, data analytics platform, that covers all your data needs from data import to final deployment. Being open, KNIME Analytics Platform offers a vast integration and IDE environment for R, Python, SQL, and Spark.

After an initial introduction to the tool and to the data science cycle, we will split in groups. Each group will focus on one of three aspects of the data science cycle:

  • Group 1. Working on the raw data. Data access and data preparation.

  • Group 2. Machine Learning. Which model shall I use? Which parameters?

  • Group 3. I have a great model. Now what? The model deployment phase.

We will provide a few datasets, jump-start workflows and final solutions for the proposed tasks, and of course data science experts. Please bring your own laptop with KNIME Analytics Platform pre-installed.


AGENDA


13.45 – 14:00 - Welcome and Introduction

14.00 – 14:30 - Introduction to KNIME Analytics Platform

14:30 – 14:50 - The Data Science Cycle: From raw data to deployment

14:50 – 15:10  - Data sets and tasks presentation, group formation

15:10 – 17:00 - Let's work and learn!

17:00 – 17:30 - Networking


INSTALL KNIME

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