EN 
FR 
Powered by ARTEFACT
Dataiku Advanced Designer
Further training with Dataiku
Take Dataiku to the next level. This course covers the use of advanced data manipulation recipes and plugins, and the development of a product recommendation project.
Dataiku Advanced Designer
On request
Choose your session
Course description
Perfect your use of Dataiku with an Artefact expert. Designed for regular Dataiku users, this training course will enable you to develop a product recommendation project based on transactional data. By the end of the course, you will have acquired the skills required for official Dataiku Advanced Designer certification.
Objectives
At the end of this course, which combines theory, interactive exercises with Dataiku, and guided case studies, you will be able to :
Use Window and Pivot recipes to calculate complex aggregations
Training a recommendation algorithm on transaction data
Developing a complex project from start to finish
Public
Data scientist, data analyst, business analyst, data science manager.
Prerequisites
Core Designer and ML Practitioner certifications, or equivalent.
Evaluation
Passing the official "Advanced Designer" certification.
Program
Dataiku Advanced Designer
1. DISCOVERING THE USE CASE
30 minutes
Retrieving and understanding data
Use case objective: create a product recommendation model
2. PREPARE AND ANALYSE YOUR DATA
2 hours
Preparing your data: managing dates and missing data
Calculating aggregations with WINDOW and PIVOT recipes
Analysing variable distributions
Separate data by time dimension
3. CREATE A RECOMMENDATION MODEL
3 hours
Introduction to Dataiku plugins
The Recommendation Systems plugin
Train a recommendation model on its data
Filter relevant results
Evaluating the model's performance
4. AUTOMATE THE PROJECT
2 hours 30 minutes
Check data quality using metrics and checks
Automate task execution with scenarios
Using variables in your Flow
Like them, train your teams in data
Choose Artefact School of Data
to train your teams
Receive all the latest news from the School of Data.
Other training courses on the same theme
Up-skill your teams
FAQ
Do you have any other questions about Artefact School of Data? We'd love to hear from you.
Are our courses face-to-face and/or distance learning?
We recommend that you come to one of our face-to-face courses to be at the heart of the leader in Data and Artificial Intelligence. However, if you prefer or if you can't do otherwise, our courses can also be taken at a distance or as a hybrid! Everything is designed so that you can follow our courses from our classroom or from home, as you wish. We have made this choice to optimise your learning during the course.
What support is there to help you find a job?
Every day, our students have the opportunity to work alongside Artefact employeesone of the leaders in Data. This means that every day, they meet Data Scientists, Analysts, Engineers, Data Consultants and Data Marketing experts who make up their team. professional network and increase their chances of securing a future position with Artefact or with a partner.
In addition, we offer a Career Day to help you find a job. This includes workshops on job hunting, preparing CVs and LinkedIn profiles, as well as advice on technical interviews.
Who are the teachers?
Your tutors are Data Scientists, Analysts or Senior Engineers by trade. This is very important to us because they work at the very heart of one of the leaders specialising in Data and AI: Artefact. This means that the teachers are in daily contact with Artefact customers and are responding to real, current issues in the field. Our training courses are therefore designed around what they experience on a daily basis.
How do I apply for one of our courses?
The registration process is very simple: you apply directly for the course of your choice, explaining your motivations and describing your career path. You can also download the full programme and then make an appointment with us.
Are our training courses Qualiopi certified?
Our training courses are certified "Qualiopi pour l'action de formation".