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Hands-On Lab: Accelerating Data Science with Snowflake and DataRobot

Data science is helping organizations around the world solve the most challenging analytical problems. Snowflake’s cloud data platform accelerates data science with DataRobot automated machine learning, bringing AI and data science within reach for every company.

In this free instructor-led lab, you’ll get firsthand experience preparing data in Snowflake and building and training models with DataRobot. No prior experience is necessary, and you will have trial access to both platforms after the lab is over so that you can continue honing your data science skills.

You will learn how to:

  • Prepare data and conduct feature engineering
  • Build and train models
  • Build a broadly applicable customer churn model
  • Deploy, monitor, and manage models
  • Write back data to Snowflake
  • Visualize and analyze the resulting data in Snowflake

Speakers:

Vijay Rajan
Vijay Rajan

Data Scientist, DataRobot

Riaan Tischendorf
Riaan Tischendorf

Sales Engineer, Snowflake

  • DataRobot's platform makes my work exciting, my job fun, and the results more accurate and timely – it's almost like magic!
    Omair Tariq
    Omair Tariq

    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
    Oliver Rees
    Oliver Rees

    General Manager – Torque Data at Virgin Australia

  • At LendingTree, we recognize that data is at the core of our business strategy to deliver an exceptional, personalized customer experience. DataRobot transforms the economics of extracting value from this resource.
    Akshay Tandon
    Akshay Tandon

    VP of Strategy Analytics, LendingTree

  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant