Training title Date Location
Advanced DataRobot with Python March 16-17 Chicago, IL
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 and running projects
  • Defining feature lists
  • Model monitoring & maintenance
  • Calling predictions
  • Pipeline automation
DataRobot Administrator February 10 Boston, MA
ONE DAY COURSE Appropriate for systems administrators supporting DataRobot
Overview
Course outline
For clients using DataRobot Enterprise and DataRobot Hadoop versions, this one day course provides the information you need on platform installation, maintenance, and optimization. Learn how to manage users, report performance, and adjust options. Includes coverage of best practices in backing up, replicating, and upgrading DataRobot instances. Experience supporting Linux-based systems required.

1. Architecture

  • Linux
  • cloud
  • Hadoop
  • security

2. Integration

  • data ingestion
  • model management
  • scoring

3. Admininstration

  • monitoring
  • backup
  • replication
  • upgrading
  • support
Data Science for Executives February 22 London, UK
Two-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 March 29 Singapore
Two-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 Essentials January 26-27 London, UK
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials January 26-27 Herndon, VA
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials January 30-31 San Francisco, CA
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials February 16-17 New York, NY
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials February 23-24 London, UK
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials March 2-3 Columbia, MD
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials March 9-10 Boston, MA
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials March 30-31 Singapore
Two day course Appropriate for all DataRobot users
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 and sharing projects
DataRobot Essentials April 20-21 San Francisco, CA
Two day course Appropriate for all DataRobot users
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 and sharing projects