Snowflake Advanced Analytics Training

This two-day, role-specific course introduces participants to the advanced analytic capabilities provided by the Snowflake AI Data Cloud. Participants learn to employ these analytical capabilities to derive deeper insights, discover patterns, and pinpoint trends. This course will provide participants with the skills to begin accessing information that supports a more predictive approach to identifying what could happen instead of only looking at what has happened. The course consists of lectures, labs, demonstrations, 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
Virtual2 daysApril 29, 20250
Virtual2 daysMay 13, 20250
Virtual2 daysMay 27, 20250
Virtual2 daysJune 3, 20250
Virtual2 daysJune 24, 20250
Virtual2 daysJuly 15, 20250
Virtual2 daysJuly 29, 20250

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What You'll learn

  • Use the advanced analytic capabilities provided in Snowflake to improve decision-making.
  • Show quick insights into trends, correlations, and predictions using linear regression.
  • Exploit windowing functions to provide eicient query processing and support comparative analysis.
  • Manipulate semi-structured data in its raw format to expand analysis capabilities.
  • Explain how geospatial data can enhance operational eiciencies, support location-based analysis, and augment visualizations.
  • Perform analysis using algorithms designed for “big data” to facilitate predictive analytics.
  • Employ complex query syntax in Snowflake.
  • Utilize Streamlit in Snowflake apps for analysis.
  • Summarize Snowflake’s LLM and ML capabilities.
  • Use a Snowflake Notebook to perform analysis and visualizations using SQL and select Python packages.

WHAT EXPERIENCE YOU'LL NEED

We recommend that attendees of this course have:

  • Completion of “Snowflake Data Analyst” two-day course or equivalent Snowflake knowledge.
  • Knowledge of SQL is required.
  • Familiarity with statistical analysis and its terminology is recommended.
  • Previous Python programming experience is beneficial.

Who should take this course

This course is intended for:

  • Data Analysts
  • Citizen Data Scientists
  • Anyone interested in advanced 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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