Data Preparation with DataRobot Paxata

Data Preparation with DataRobot Paxata

Learn the basics.

About this Mission

A significant portion of any data analysis effort is spent finding, cleaning, and preparing data. On this mission, you will learn the basics of using DataRobot Paxata for data preparation. You will learn how to import, understand, clean, transform, and prepare data for ML projects. 

Mission format and duration: self-paced, 45 minutes

Upon completion of this mission, you will be able to: 

  • Set up a project in Paxata 
  • Manage and share data with the Data Library
  • Combine data by joining, appending, and using lookup on data files
  • Clean data by removing spaces, changing cases, and transforming data types
  • Split columns and shape data
  • Validate data and engineer features
  • Export data for modeling in DataRobot
  • Reorder and mute steps
  • Copy logic to additional projects

Who should complete this mission?

  • Business Analysts
  • Citizen Data Scientists
  • Data Scientists
  • Software developers
  • Storage engineers

Before embarking on this mission, you should complete one of the following:

Technical requirements

  • Chrome browser

DataRobot Automated Machine Learning — If you don’t have access to the application, please sign up for our free trial: datarobot.com/trial.

Action Plan45 min

  • Overview
  • Landing Page Ingest
  • Landing Page Orientation
  • Combining Files
  • Cleaning Data
  • Splitting and Shaping Data
  • Compute Function
  • Complete Project
  • Give Us Your Feedback
  • Resources
  • Paxata Community Content
  • Paxata Documentation

About this Mission

A significant portion of any data analysis effort is spent finding, cleaning, and preparing data. On this mission, you will learn the basics of using DataRobot Paxata for data preparation. You will learn how to import, understand, clean, transform, and prepare data for ML projects. 

Mission format and duration: self-paced, 45 minutes

Upon completion of this mission, you will be able to: 

  • Set up a project in Paxata 
  • Manage and share data with the Data Library
  • Combine data by joining, appending, and using lookup on data files
  • Clean data by removing spaces, changing cases, and transforming data types
  • Split columns and shape data
  • Validate data and engineer features
  • Export data for modeling in DataRobot
  • Reorder and mute steps
  • Copy logic to additional projects

Who should complete this mission?

  • Business Analysts
  • Citizen Data Scientists
  • Data Scientists
  • Software developers
  • Storage engineers

Before embarking on this mission, you should complete one of the following:

Technical requirements

  • Chrome browser

DataRobot Automated Machine Learning — If you don’t have access to the application, please sign up for our free trial: datarobot.com/trial.

Action Plan45 min

  • Overview
  • Landing Page Ingest
  • Landing Page Orientation
  • Combining Files
  • Cleaning Data
  • Splitting and Shaping Data
  • Compute Function
  • Complete Project
  • Give Us Your Feedback
  • Resources
  • Paxata Community Content
  • Paxata Documentation