APAC EVENT Hands-on Workshop Series Melbourne February 2024

In-Person Event

Dataiku Explorer Series
Hands-on Workshop

Thursday, 15th February
Wework, 120 Spencer St, Melbourne
2:30 PM - 5:00 PM (+ Networking)

This interactive hands-on workshop welcomes participants of all backgrounds, extending its accessibility to a diverse audience—from business users to data analysts—regardless of their proficiency in IT.

The goal is to provide you with first-hand experience of building Data and ML pipelines in Dataiku Data Science Studio (DSS) leveraging no-code, low-code and high-code approaches.

There are only limited spots available – so FIRST IN, BEST DRESSED. In case of a high volume of applicants, early closure may occur.

Save your seat

What you will learn

Whether you're a seasoned data scientist or just starting to explore the field, this hands-on workshop is crafted to be inclusive and beneficial for individuals at every stage of their skill development journey.

What you will need

Participation in the event requires a laptop with internet access.

By the end of the session, you will be able to:

Ingest and wrangle data coming from a flat file and a SQL database
Build an ML model using Automated Machine Learning
Orchestrate the pipeline to run in batch mode on a timely basis (hourly/daily/weekly/monthly etc); and
Evaluate your ML models across drift, prediction and performance metrics

Meet The Team

Vicent Osabel

Principal Sales Engineer ANZ
DATAIKU

James Orton

Senior Engagement Manager
DATAIKU

Agenda

Thursday, 15th February

2:30 PM - 5:30 PM

Time

Details

2:30 pm - 2.45pm

Guest Check-in

2:45 pm - 2.50pm

Dataiku: Key Concepts

2:50 pm - 3.45pm

Part 1: From data access to machine learning model creation

Prepare: Ingest data (text file and SQL-based table) and wrangle data (Append, Join, Apply Business Logic to data).
Build: Apply Exploratory Data Analysis (EDA) techniques prior to building a Machine Learning model.

3:45 pm - 4.45pm

Part 2: Orchestrate and Monitor the ML pipeline

Deploy: Operate and deploy data pipelines and models.
Monitor: Evaluate ML models in production across drift, prediction and performance metrics.

4:45 pm - 5.00pm

Session Wrap-up

5:00 pm - 5.30pm

Socials/Networking

Location

WeWork

120 Spencer St, Melbourne VIC 3000

Room 22, Level 22

Dataiku Explorer SeriesHands-on Workshop