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Snowflake Data Science Training

Live Online & Classroom Enterprise Training

Snowflake Data Science focuses on building, training, and deploying data science and machine learning workflows directly on the Snowflake Data Cloud.

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What is Snowflake Data Science Training about?

This three‐day, role‐specific course is intended for participants interested in developing skills and expe rience using Snowflake AI Data Cloud for data science workloads. The participant will gain exposure to the rich features of Snowflake, diverse machine learning datasets, relevant and popular open source ML frameworks and libraries, and model deployment practices that will provide practical skills applicable to data science jobs. This course consists of lectures, demos, labs, and discussions.

What are the objectives of Snowflake Data Science Training ?

  • Collect and access data from Snowflake Data Marketplace and other sources.
  • Manageandarchitect data lakes and real‐time streams.
  • Employ Snowflake‐recommended 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 frameworks and libraries.
  • Formulate data science and machine learning workflows and data pipelines.
  • Manageanddeploy machine learning models at scale with APIs.
  • Visualize and collaborate on machine learning results.

Who is Snowflake Data Science Training for?

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

What are the prerequisites for Snowflake Data Science Training?

  • Recommended completion of the “Snowflake Multi‐Factor Authentication (MFA) Essentials” free on‐demand course.
  • Completion of “Snowflake Foundations” one‐day course or equivalent Snowflake knowledge.
  • Basic knowledge of SQL is required.
  • Foundational knowledge of databases.
  • Python or some other object‐oriented programming language.
  • Abackground in data science, machine learning, or statistical modeling is required.

Available Training Modes

Live Online Training

3 Days

Classroom Training

3 Days

Course Outline Expand All

Expand All

  • Introduction to Data Science Workload
  • Connecting to Snowflake
  • Supported Object Types
  • Supported Data Types
  • SQLSupport
  • TheVariant Data Type
  • Introduction to Unstructured Data
  • Accessing External Data
  • Loading Data into Snowflake
  • Accessing Snowflake Data Worldwide with the Data Cloud
  • Snowflake MLFunctions
  • Cortex LLM
  • Whatis Snowpark?
  • Sampling Data
  • Tidying Tables
  • Transforming Data with Snowpark
  • Leveraging Unstructured Data
  • Table Streams and Tasks
  • Tools for EDA
  • Univariate Regression in Snowflake
  • EstimationFunctions
  • Feature Engineering
  • Pandas on Snowflake
  • Feature Engineering with Snowpark
  • Overview of Machine Learning
  • Snowpark ML
  • Snowflake Model Registry
  • Training Models with Snowpark Stored Procedures
  • AutoML
  • Batch Scoring
  • Python Worksheets
  • UDFs
  • Stored Procedures
  • Snowpark UDFs for Model Inference
  • External Functions
  • Improving Runtime Performance
  • Vectorized UDFs
  • Monitoring
  • MLOps

Who is the instructor for this training?

The trainer for this Snowflake Data Science Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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