DataRobot Essentials

DataRobot Essentials

Gain the foundational skills for using DataRobot.

About this Mission

Use DataRobot to explore, model, and act on data and gain expert advice on best practices in machine learning.

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

Prerequisite: AutoML Starter (Self-paced), this 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/Eastern    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.

PART 1 of 4 | Problem Framing & Data Exploration (3.5 hrs)

Instructor-led Session Date Spaces left
Problem Framing & Data Exploration 1
Problem Framing & Data Exploration 9

PART 2 of 4 | Data Prep & Model Building (3.5 hrs)

Instructor-led Session Date Spaces left
Data Prep & Model Building 2
Data Prep & Model Building 7

PART 3 of 4 | Model Building & Interpretation (3.5 hrs)

Instructor-led Session Date Spaces left
Model Building & Interpretation 1
Model Building & Interpretation 1

PART 4 of 4 | Model Deployment (3.5 hrs)

Instructor-led Session Date Spaces left
Model Deployment 4

Action Plan4 Sessions

  • Instructor-led Session (Virtual)
  • PART 1 of 4 | Problem Framing & Data Exploration (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • PART 2 of 4 | Data Prep & Model Building (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • PART 3 of 4 | Model Building & Interpretation (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • PART 4 of 4 | Model Deployment (3.5 hrs)
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets

About this Mission

Use DataRobot to explore, model, and act on data and gain expert advice on best practices in machine learning.

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

Prerequisite: AutoML Starter (Self-paced), this 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/Eastern    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

PART 1 of 4 | Problem Framing & Data Exploration (3.5 hrs)

Instructor-led Session Date Spaces left
Problem Framing & Data Exploration 1
Problem Framing & Data Exploration 9

PART 2 of 4 | Data Prep & Model Building (3.5 hrs)

Instructor-led Session Date Spaces left
Data Prep & Model Building 2
Data Prep & Model Building 7

PART 3 of 4 | Model Building & Interpretation (3.5 hrs)

Instructor-led Session Date Spaces left
Model Building & Interpretation 1
Model Building & Interpretation 1

PART 4 of 4 | Model Deployment (3.5 hrs)

Instructor-led Session Date Spaces left
Model Deployment 4

Action Plan4 Sessions

  • Instructor-led Session (Virtual)
  • PART 1 of 4 | Problem Framing & Data Exploration (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • PART 2 of 4 | Data Prep & Model Building (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • PART 3 of 4 | Model Building & Interpretation (3.5 hrs)
  • Give Us Your Feedback
  • Instructor-led Session (Virtual)
  • PART 4 of 4 | Model Deployment (3.5 hrs)
  • Assess Your Skills
  • Give Us Your Feedback
  • What's Next...
  • Resources
  • Datasets