Training title Date Location Price
Advanced DataRobot with Python October 18-19 Chicago, IL $1000
two day course Appropriate for graduates of DataRobot Essentials who program in Python
Overview
Course outline
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 projects
  • Defining feature lists
  • Monitoring
  • Calling predictions
  • Pipeline automation
Data Science for Actuaries September 12-13 Chicago, IL $1000
Two Day Class Appropriate for actuaries and actuarial students
Overview
Course outline
This course focuses on end-to-end development of predictive modeling using machine learning in an actuarial context. 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. You will gain the skills you need to make the most to explore, model, and act on data. Examples include mortality modeling, hospital readmissions, and fraud detection.

1. Data Exploration and Preparation

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

2. Modeling and Interpretation

  • Cross-validation
  • Model performance
  • Main predictors
  • Variable and model selection

DataRobot in Production

  • Accuracy vs latency
  • Batch prediction
  • Prediction API
  • Managing projects
  • Communicating results
Data Science for Actuaries September 14-15 London, UK £800
Two Day Class Appropriate for actuaries and actuarial students
Overview
Course outline
This course focuses on end-to-end development of predictive modeling using machine learning in an actuarial context. 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. You will gain the skills you need to make the most to explore, model, and act on data. Examples include mortality modeling, hospital readmissions, and fraud detection.

1. Data Exploration and Preparation

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

2. Modeling and Interpretation

  • Cross-validation
  • Model performance
  • Main predictors
  • Variable and model selection

DataRobot in Production

  • Accuracy vs latency
  • Batch prediction
  • Prediction API
  • Managing projects
  • Communicating results
Data Science for Executives October 2 Madrid, Spain
Four-Hour Seminar Appropriate for business executives sponsoring, funding or implementing data science initiatives
Overview
Course outline
Gain insight into how to drive success in data science. Identify key points in the machine learning life cycle where executive oversight really matters. Learn effective methods to help your team deliver better predictive models, faster. You'll leave this seminar able to identify business challenges well suited for machine learning, with fully defined predictive analytics projects your team can implement now to improve operational results.

1. Data Science and you

  • The data science line-up
  • Definitions, buzzwords, and hype
  • Making big data have a big impact

2. Implementing data science

  • Organizational approaches
  • Enterprise data science
  • Data science-driven enterprises

3. Identifying opportunities

  • Problems you can solve
  • Evaluating and prioritizing
  • Effective execution
Data Science for Executives October 6 Barcelona, Spain
Four-Hour Seminar Appropriate for business executives sponsoring, funding or implementing data science initiatives
Overview
Course outline
Gain insight into how to drive success in data science. Identify key points in the machine learning life cycle where executive oversight really matters. Learn effective methods to help your team deliver better predictive models, faster. You'll leave this seminar able to identify business challenges well suited for machine learning, with fully defined predictive analytics projects your team can implement now to improve operational results.

1. Data Science and you

  • The data science line-up
  • Definitions, buzzwords, and hype
  • Making big data have a big impact

2. Implementing data science

  • Organizational approaches
  • Enterprise data science
  • Data science-driven enterprises

3. Identifying opportunities

  • Problems you can solve
  • Evaluating and prioritizing
  • Effective execution
DataRobot for Data Scientists October 11 New York, NY $500
One day course Appropriate for experienced data scientists
Overview
Course outline
This streamlined session provides a hands-on opportunity to learn to use DataRobot to increase model-building productivity. Intended for experienced, expert data scientists, this short course focuses on practical use of DataRobot to quickly build, interpret, and implement highly accurate machine learning models.

1. Data Exploration and Preparation

  • Data loading
  • Exploratory data analysis
  • Target specification
  • Automated feature engineering

2. Modeling and Interpretation

  • Feature impact
  • DataRobot Insights
  • Blended models
  • Model X-Ray
  • Learning curves
  • Model selection

3. DataRobot in Production

  • Accuracy vs latency
  • Batch prediction
  • Prediction API
  • Managing projects
DataRobot for Data Scientists October 16 London, UK £400
One day course Appropriate for experienced data scientists
Overview
Course outline
This streamlined session provides a hands-on opportunity to learn to use DataRobot to increase model-building productivity. Intended for experienced, expert data scientists, this short course focuses on practical use of DataRobot to quickly build, interpret, and implement highly accurate machine learning models.

1. Data Exploration and Preparation

  • Data loading
  • Exploratory data analysis
  • Target specification
  • Automated feature engineering

2. Modeling and Interpretation

  • Feature impact
  • DataRobot Insights
  • Blended models
  • Model X-Ray
  • Learning curves
  • Model selection

3. DataRobot in Production

  • Accuracy vs latency
  • Batch prediction
  • Prediction API
  • Managing projects
DataRobot for Data Scientists October 27 Boston, MA $500
One day course Appropriate for experienced data scientists
Overview
Course outline
This streamlined session provides a hands-on opportunity to learn to use DataRobot to increase model-building productivity. Intended for experienced, expert data scientists, this short course focuses on practical use of DataRobot to quickly build, interpret, and implement highly accurate machine learning models.

1. Data Exploration and Preparation

  • Data loading
  • Exploratory data analysis
  • Target specification
  • Automated feature engineering

2. Modeling and Interpretation

  • Feature impact
  • DataRobot Insights
  • Blended models
  • Model X-Ray
  • Learning curves
  • Model selection

3. DataRobot in Production

  • Accuracy vs latency
  • Batch prediction
  • Prediction API
  • Managing projects
DataRobot Essentials August 22-23 Osaka, Japan
Two day course Appropriate for business analysts and beginning data scientists
Overview
Course outline
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
DataRobot Essentials September 7-8 London, UK £800
Two day course Appropriate for business analysts and beginning data scientists
Overview
Course outline
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
DataRobot Essentials October 3-4 Madrid, Spain $1000
Two day course Appropriate for business analysts and beginning data scientists
Overview
Course outline
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
DataRobot Essentials October 17-18 London, UK £800
Two day course Appropriate for business analysts and beginning data scientists
Overview
Course outline
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
DataRobot Essentials October 12-13 New York, NY $1000
Two day course Appropriate for business analysts and beginning data scientists
Overview
Course outline
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
DataRobot Essentials October 25-26 Boston, MA $1000
Two day course Appropriate for business analysts and beginning data scientists
Overview
Course outline
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
DataRobot Essentials Oct 31 - Nov 1 San Francisco, CA $1000
Two day course Appropriate for business analysts and beginning data scientists
Overview
Course outline
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