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. Selected faculty attend the two day DataRobot Essentials class, and may optionally attend Advanced DataRobot with Python to learn how to 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
one day course

Advanced DataRobot with R

Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists who program in R

The Advanced DataRobot with R course is a one-day, hands-on coverage of expert techniques to get the best machine learning results using the power of the DataRobot API. In addition, you’ll learn to build custom visualizations and autopilot processes as well as how to enhance results through sophisticated statistical methods.

1. DataRobot API

  • Creating and running projects
  • Extracting insights for visualizations
  • Pipeline automation

2. Advanced Techniques

  • Creating your own custom autopilot
  • Feature selection methods
  • Assessing variance in your results
two day course

Advanced DataRobot with Python

Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists 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 or DataRobot for Data Scientists 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 projects
  • Defining feature lists
  • Monitoring
  • Calling predictions
  • Pipeline automation
  • Aug $1000

    Minneapolis, MN
  • Sep $1000

    Boston, MA

Have a question about learning data science with DataRobot?

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