Data Science Training

INTRODUCING SNOWFLAKE TRAINING FUNDS ➤  Learn more HERE. To purchase, contact us.SNOWFLAKE DATA SCIENCE TRAINING NOW AVAILABLE ➤  Register for a public class by April 30th and get 10% off using the code: DataScience_10pct_public   Request private Data Science training for your team using the form HERE.  COVID-19 UPDATES ➤   Instructor-led classes will be delivered via virtual classroom only.

Data Science Training

Data Science Training


This 3-day class is ideal for Snowflake users who are interested in developing the skills and experience necessary to utilize Snowflake Data Cloud for Data Science workloads. This course will cover key concepts, features, considerations, and best practices for building out data science solutions within Snowflake.


3 Days


By the end of this class you will be able to:

  • Collect and access data from Snowflake Data Marketplace and other sources
  • Manage and architect data lakes and real time streams
  • Employ Snowflake best practices for developing or querying semi-structured and other data types
  • Work with supervised and unsupervised machine learning models using some of the most relevant open source framework and libraries
  • Formulate data science and machine learning workflow and data pipelines
  • Manage and deploy machine learning models at scale with APIs
  • Visualize and collaborate on machine learning results


Who should attend this course?

  • Data scientists who build and train machine learning models
  • Data scientists and data analysts who use the machine learning models to conduct predictive and prescriptive analytics


  • Basic knowledge of SQL is required
  • Foundational knowledge of databases
  • Python or some other object-oriented programming language

Setup Requirements

Snowflake Training students need...

  • to bring a laptop
  • a Snowflake compatible browser (see options HERE)


Upcoming Classes


Instructor-led online training

Location Apr 2021 May 2021 Jun 2021 Jul 2021 Aug 2021 Sep 2021 Oct 2021 Nov 2021 Dec 2021 Jan 2022 Feb 2022 Mar 2022 Apr 2022
Virtual Classroom (AMER/CT) May 25 – May 27
Jul 20 – Jul 22
Virtual Classroom (APAC/Sydney) Jun 2 – Jun 4
Virtual Classroom (EMEA/GMT) Jun 21 – Jun 23

Already enrolled in an Instructor-Led class or paid On-Demand course? Log in to your Learner Dashboard.