Training title Date Location Price
Advanced DataRobot with Python January 22-23 San Francisco, CA $1000
two day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists who program in Python

Overview

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.

Course outline

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
DataRobot Advanced December 13 Tokyo, Japan ¥90000
One day course Appropriate for

Overview

Course outline

DataRobot Advanced February 14 Tokyo, Japan ¥90000
One day course Appropriate for

Overview

Course outline

Machine Learning and AI for Executives December 13 Denver, CO $500
Four-Hour Seminar Appropriate for business executives sponsoring, funding, or implementing machine learning initiatives.

Overview

Gain insight into how to drive success in machine learning. 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. Attendance at this seminar is by invitation. If you would like to be invited, please contact your DataRobot representative or email dru@datarobot.com .

Course outline

1. Machine learning and you

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

2. Implementing machine learning

  • Organizational approaches
  • Enterprise machine learning
  • Machine learning-driven enterprises

3. Identifying opportunities

  • Problems you can solve
  • Evaluating and prioritizing
  • Effective execution
Advanced DataRobot with R January 8 Denver, CO $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists who program in R

Overview

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.

Course outline

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
Advanced DataRobot with R February 15 Singapore $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists who program in R

Overview

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.

Course outline

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
DataRobot Model Deployment January 24 Tokyo, Japan ¥90000
One Day Course Appropriate for experienced DataRobot users

Overview

This intensive session covers the benefits and technical aspects of a wide range of methods to deploy machine learning models developed in DataRobot. Intended for experienced users of DataRobot, this session coaches you on the best ways to operationalize your DataRobot models in manual, automated, batch, and real-time applications to maximize the benefits of predictive modeling. Some examples will be in the Python programming language so prior Python experience is helpful.

Course outline

1. DataRobot Architecture and API

  • Building models using the API
  • DataRobot API
  • Predictions API
  • Shared Cloud
  • DataRobot Enterprise
  • DataRobot Hadoop

2. Deployment Options

  • Drag and Drop
  • DataRobot API
  • Prediction API
  • Batch Scoring Script
  • DataRobot Prime
  • Coefficient Export
  • DataRobot Code Generation
  • Spark Deployment

3. Monitoring

  • Calendar Refresh
  • Performance Refresh
  • Population Refresh
DataRobot Time Series Modeling December 21 Boston, MA $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling January 11 Singapore $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling January 17 San Francisco, CA $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling January 18 London, UK $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling January 25 New York, NY $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling February 4 Boston, MA $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling February 18 Singapore $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling February 22 London, UK $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling February 22 Melbourne, Australia $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot Time Series Modeling March 15 New York, NY $500
one day course Appropriate for graduates of DataRobot Essentials or DataRobot for Data Scientists

Overview

Gain the skills you need to make the most of the automated time series modeling capabilities of DataRobot to explore and make forecasts on your data. This course provides hands-on coverage of the DataRobot platform and its features, expert advice handling time series problems, and guidance on how to extract business value from your predictions.

Course outline

1. Introduction to Time Series

  • Problem definition
  • Feature engineering
  • DataRobot’s approach

2. Modeling and Insights

  • Backtesting
  • Accuracy plots
  • Feature interpretation
  • Making forecasts

3. Best Practices

  • Enriching data
  • Feature Selection
  • Model Evaluation
DataRobot for Data Scientists December 20 New York, NY $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 January 10 Singapore $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 January 14 London, UK $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 January 25 Boston, MA $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 February 14 Singapore $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 February 21 San Francisco, CA $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 February 15 New York, NY $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 April 19 New York, NY $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 March 14 London, UK $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 March 22 Boston, MA $500
One day course Appropriate for experienced data scientists

Overview

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.

Course outline

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 December 10-11 Seattle, WA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 December 11-12 San Francisco, CA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 December 11-12 Denver, CO $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 December 12-13 Barcelona, Spain $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 December 12-13 Portland, OR $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 December 18-19 New York, NY $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 December 18-19 Chicago, IL $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 December 19-20 Boston, MA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 January 8-9 Singapore $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 January 9-10 Boston, MA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 January 15-16 San Francisco, CA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 January 15-16 London, UK $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 January 22-23 Tokyo, Japan ¥180000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 January 23-24 New York, NY $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 February 6-7 Boston, MA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 February 6-7 Tokyo, Japan ¥180000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 February 12-13 Singapore $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 February 13-14 New York, NY $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 February 19-20 San Francisco, CA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 February 19-20 London, UK $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 February 20-21 Melbourne, Australia $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 March 6-7 Boston, MA $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 March 12-13 London, UK $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 March 13-14 New York, NY $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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 April 17-18 New York, NY $1000
Two day course Appropriate for business analytics professionals and beginning data scientists

Overview

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.

Course outline

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