AutoML I

AutoML I

Build the foundational skills to construct predictive models to help you solve business problems.

About this Mission

Discover how DataRobot helps you gain important insights about your data to solve key business problems and build the foundational skills that enable you to construct predictive models that bring value to your organization.  This mission guides you through the process of completing AutoML projects and provides an in-depth look at each stage of the Machine Learning Life Cycle.

This course replaces DataRobot Essentials, which is its equivalent. If you have previously taken the DataRobot Essentials, you do not need to take this course. This course is equivalent to DataRobot for Data Scientists but designed for non-data scientists. Participants should choose one or the other (not both) depending on their level of expertise.

Audience: Citizen Data Scientists or Data Scientists with minimal modeling experience

Prerequisite: AutoML Starter (Self-paced) is recommended, but not required

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/Sydney    SGT: Asia/Singapore   

BST: 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 | Project Purpose and Data Exploration (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session A 5
AutoML I: Session A 17
AutoML I: Session A 15
AutoML I: Session A 20
AutoML I: Session A 19
AutoML I: Session A 17

Session B | Feature Engineering and Modeling (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session B 2
AutoML I: Session B 1
AutoML I: Session B 14
AutoML I: Session B 12
AutoML I: Session B 20
AutoML I: Session B 19
AutoML I: Session B 17

Session C | Model Selection and Use (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session C 3
AutoML I: Session C 1
AutoML I: Session C 20
AutoML I: Session C 16
AutoML I: Session C 19
AutoML I: Session C 17
AutoML I: Session C 10

Action Plan3 Sessions

  • Instructor-led Session (Virtual)
  • Session A | Project Purpose and Data Exploration (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session B | Feature Engineering and Modeling (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session C | Model Selection and Use (3.5 hrs)
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets and Course Files

About this Mission

Discover how DataRobot helps you gain important insights about your data to solve key business problems and build the foundational skills that enable you to construct predictive models that bring value to your organization.  This mission guides you through the process of completing AutoML projects and provides an in-depth look at each stage of the Machine Learning Life Cycle.

This course replaces DataRobot Essentials, which is its equivalent. If you have previously taken the DataRobot Essentials, you do not need to take this course. This course is equivalent to DataRobot for Data Scientists but designed for non-data scientists. Participants should choose one or the other (not both) depending on their level of expertise.

Audience: Citizen Data Scientists or Data Scientists with minimal modeling experience

Prerequisite: AutoML Starter (Self-paced) is recommended, but not required

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/Sydney    SGT: Asia/Singapore   

BST: 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 | Project Purpose and Data Exploration (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session A 5
AutoML I: Session A 17
AutoML I: Session A 15
AutoML I: Session A 20
AutoML I: Session A 19
AutoML I: Session A 17

Session B | Feature Engineering and Modeling (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session B 2
AutoML I: Session B 1
AutoML I: Session B 14
AutoML I: Session B 12
AutoML I: Session B 20
AutoML I: Session B 19
AutoML I: Session B 17

Session C | Model Selection and Use (3.5 hrs)

Instructor-led Session Date Spaces left
AutoML I: Session C 3
AutoML I: Session C 1
AutoML I: Session C 20
AutoML I: Session C 16
AutoML I: Session C 19
AutoML I: Session C 17
AutoML I: Session C 10

Action Plan3 Sessions

  • Instructor-led Session (Virtual)
  • Session A | Project Purpose and Data Exploration (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session B | Feature Engineering and Modeling (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • Session C | Model Selection and Use (3.5 hrs)
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets and Course Files