Dataiku ML Practitioner

Type:

Classroom or virtual

Duration:

4 hours

Level:

Practitioner

Language:

English

A training designed by Dataiku which takes you through the knowledge required to pass the ML Practitioner certificate. 

The training includes exploring the platform, analyzing data with statistical worksheets and the creation of machine learning models (no coding knowledge needed).  

Course objectives

  • Navigating the platform's interface 
  • Statistical worksheets to analyze data 
  • Creating, iterating, and deploying ML models (no code) 
  • Be prepared to take the ML Practitioner certification  

Course outline

  • Background and objectives 
  • Intro to Machine Learning 
  • Exploratory Data Analysis 
  • Visual ML: Model Training 
  • Visual ML: Model Evaluation 
  • Visual ML: Feature Engineering 
  • Visual ML: Model Deployment 
  • Visual ML: Scoring Data 
  • Model Documentation 

Reviews

Reviews

4.5 (out of 5)
“This was my best training so far. I liked the content of the training but also the visualisation. Also, the trainer is amazing at keeping your focus on the topic at hand.”
4.8 (out of 5)
"Compliments for the organisation of the entire course, your enthusiasm, the lunch, all the goodies available throughout the day, and the right mix with guest lecturers.”
4.6 (out of 5)
“I've learned a lot; I already notice a difference in my work with my new knowledge.“

Logistics

Everything you need to know

  • When: On request
  • Where: Virtually, on request or in our offices in Belgium, The Netherlands, Germany, France or the UK
  • Duration: 4 hours
  • Price: Individual seat in public training: €400
  • For whom: Anyone
  • Prerequisites: Dataiku Core Designer Certification
  • Certification: Dataiku ML Practitioner certificate (exam voucher not included)
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