DataRobot for Data Scientists

DataRobot for Data Scientists

The quickest way for expert Data Scientists to learn DataRobot.

About this Mission

This hands-on course helps experienced data scientists increase model-building productivity using DataRobot. It focuses on the practical use of DataRobot to quickly build, interpret, and implement highly accurate machine learning models.  

This session is equivalent to AutoML I, but designed for the expert data scientist. Participants should choose one or the other (not both) depending on their level of expertise.

Audience: Data Scientists with prior modeling experience

Prerequisite: None

Requirements: Chrome Browser

Completion: Attendance at all instructor-led sessions is required for course completion.  These sessions must be taken in the order listed.

Please use this time zone conversion tool to find a session that works best for your schedule and time zone: worldtimebuddy.com

EDT: Americas/Eastern    PDT: Americas/Pacific    AEST: Australia/Eastern    SGT: Asia/Singapore   

BST/GMT: Europe/London

Note: To ensure participants are properly configured and enabled across our internal systems, session registration closes 2 business days prior to the start of the session. 

Session A | Data Exploration & Model Building (3.5 hrs)

Instructor-led Session Date Spaces left
Data Scientists: Session A 10
Data Scientists: Session A 19
Data Scientists: Session A 16
Data Scientists: Session A 20
Data Scientists: Session A 19
2 seats are currently reserved

Session B | Model Interpretation & Deployment (3.5 hrs)

Instructor-led Session Date Spaces left
Data Scientists: Session B 8
Data Scientists: Session B 19
Data Scientists: Session B 15
Data Scientists: Session B 20
Data Scientists: Session B 19
2 seats are currently reserved

Action Plan2 Sessions

  • Instructor-led Session (Virtual)
  • Session A | Data Exploration & Model Building (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session B | Model Interpretation & Deployment (3.5 hrs)
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets

About this Mission

This hands-on course helps experienced data scientists increase model-building productivity using DataRobot. It focuses on the practical use of DataRobot to quickly build, interpret, and implement highly accurate machine learning models.  

This session is equivalent to AutoML I, but designed for the expert data scientist. Participants should choose one or the other (not both) depending on their level of expertise.

Audience: Data Scientists with prior modeling experience

Prerequisite: None

Requirements: Chrome Browser

Completion: Attendance at all instructor-led sessions is required for course completion.  These sessions must be taken in the order listed.

Please use this time zone conversion tool to find a session that works best for your schedule and time zone: worldtimebuddy.com

EDT: Americas/Eastern    PDT: Americas/Pacific    AEST: Australia/Eastern    SGT: Asia/Singapore   

BST/GMT: Europe/London

Note: To ensure participants are properly configured and enabled across our internal systems, session registration closes 2 business days prior to the start of the session. 

Instructor-led Sessions

Session A | Data Exploration & Model Building (3.5 hrs)

Instructor-led Session Date Spaces left
Data Scientists: Session A 10
Data Scientists: Session A 19
Data Scientists: Session A 16
Data Scientists: Session A 20
Data Scientists: Session A 19
2 seats are currently reserved

Session B | Model Interpretation & Deployment (3.5 hrs)

Instructor-led Session Date Spaces left
Data Scientists: Session B 8
Data Scientists: Session B 19
Data Scientists: Session B 15
Data Scientists: Session B 20
Data Scientists: Session B 19
2 seats are currently reserved

Action Plan2 Sessions

  • Instructor-led Session (Virtual)
  • Session A | Data Exploration & Model Building (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session B | Model Interpretation & Deployment (3.5 hrs)
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets