Snowflake Data Science

Description

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. Prerequisite Snowflake Foundations is a prerequisite for this course. The prerequisite is estimated to take about 5 hours to complete. If you have previously completed Snowflake Fundamentals, Data Engineer, Data Science, or Administering Snowflake you do not have to take the Foundations prerequisite course. Questions? Submit a Case

Objectives

View the COURSE DATASHEET

• •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

Prerequisites

• •Basic knowledge of SQL is required
• •Foundational knowledge of databases
• •Python or some other object-oriented programming language
• •Snowflake Foundations On-Demand (estimated to take 5 hours to complete)

Setup Requirements

• •Snowflake Training students need...
• •to bring a laptop
• •a Snowflake compatible browser (see options HERE)

Audience

• •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