Snowflake Data Science Training

This three-day, role-specific course is intended for participants interested in developing skills and experience using Snowflake 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.

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We encourage early registration to ensure your place on the dates of your choice

Delivery ModeDurationStart DateCourse FeeReserve your Spot
Virtual3 daysApril 22, 20250
Virtual3 daysMay 13, 20250
Virtual3 daysMay 27, 20250
Virtual3 daysJune 10, 20250
Virtual3 daysJune 24, 20250
Virtual3 daysJuly 8, 20250
Virtual3 daysJuly 22, 20250

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What You'll learn

In this course, you will:

  • 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 frameworks and libraries.
  • Formulate data science and machine learning workflows and data pipelines.
  • Manage and deploy machine learning models at scale with APIs.
  • Visualize and collaborate on machine learning results.

WHAT EXPERIENCE YOU'LL NEED

We recommend that attendees of this course have:

  • Basic knowledge of SQL is required.
  • Foundational knowledge of databases.
  • Python or some other object-oriented programming language.
  • A background in data science, machine learning, or statistical modeling is required.
  • Completion of “Snowflake Foundations” one-day course or equivalent Snowflake knowledge.

Who should take this course

This course is intended 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.

cLASS dELIVERABLES

• E-Content kit 
• Hands-on labs
• Class completion certificates

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FAQs

Quick answers to popular questions

To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.

Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order.

There is no minimum number of candidates required, we are happy to train 1 to 1 . With regards to the maximum number, we can accomodate 30 learners in one batch.

  1. Training Delivered by an Amazon Authorized Instructor.
  2. AWS Content E-Kit
  3. Hands-on-labs for 30 days
  4. Class attendance certificate

You will get the access to course content & lab on first day of your training session.

The course Completion Certificate will be issued to your email id within 2 weeks of completing your course.

A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day)

To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.

Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order.

There is no minimum number of candidates required, we are happy to train 1 to 1 . With regards to the maximum number, we can accomodate 30 learners in one batch.

  1. Training Delivered by an Amazon Authorized Instructor.
  2. AWS Content E-Kit
  3. Hands-on-labs for 30 days
  4. Class attendance certificate

You will get the access to course content & lab on first day of your training session.

The course Completion Certificate will be issued to your email id within 2 weeks of completing your course.

A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day)

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