More than
100,000,000
Models built by datarobot customers

For Faculty

Help your students transition from theory to practice with DataRobot. The DataRobot platform automates predictive modeling without programming, so students can focus on the essential skills of business problem definition, data preparation and model interpretation.

DataRobot in the Classroom

Appropriate for faculty adopting the DataRobot platform in their curriculum

Faculty in data science, machine learning, business analytics, or predictive analytics may apply to use DataRobot in their curriculum without cost. Selected faculty attend the two day DataRobot Essentials class, and may optionally attend Advanced DataRobot with Python to learn to how use the DataRobot platform in automated, programmatic applications.

Two day course

DataRobot Essentials

Appropriate for business analysts and beginning data scientists

See upcoming classes

Gain the skills you need to make the most of the automated capabilities of DataRobot to explore, model, and act on data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice on best practices in machine learning, and guidance on how to integrate predictions into your production systems.

1. Data Exploration and Preparation

  • Data cleaning
  • Data loading
  • Exploratory data analysis
  • Target leakage

2. Modeling and Interpretation

  • Cross-validation
  • DataRobot Insights
  • Blended models
  • Model X-Ray
  • Learning curves
  • Model selection

3. DataRobot in Production

  • Accuracy vs latency
  • Batch prediction
  • Prediction API
  • Managing projects
  • May $1000

    4-5
    Bangalore, India
  • May $1000

    4-5
    New York, NY
  • May $1000

    15-16
    Boston, MA
  • May $1000

    18-19
    London, UK
  • Jun

    1-2
    Paris, France
  • Jun ¥180000

    13-14
    Tokyo, Japan
two day course

Advanced DataRobot with Python

Appropriate for graduates of DataRobot Essentials who program in Python

See upcoming classes

Get the best machine learning results using advanced feature engineering and model tuning. Review the powerful pandas data preparation package, and learn to integrate advanced modeling and predictions into an automated workflow with the DataRobot API. DataRobot Essentials and prior experience with Python required.

1. Data Preparation in Pandas

  • Exploratory analysis
  • Data cleaning
  • Data visualization
  • Table merges
  • Feature engineering

2. Advanced Techniques in DataRobot

  • Metric selection
  • Automated feature engineering
  • Creating feature lists
  • Advanced tuning

3. DataRobot API

  • Creating and running projects
  • Defining feature lists
  • Model monitoring & maintenance
  • Calling predictions
  • Pipeline automation
  • Jun $1000

    8-9
    San Francisco, CA

Have a question about learning data science with DataRobot?

Contact us