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Snowflake Data Analyst Training

Live Online & Classroom Enterprise Training

Snowflake Data Analyst focuses on analyzing, transforming, and visualizing data using Snowflake’s SQL and analytics capabilities. It equips analysts to deliver accurate insights, build reports, and support business decisions at scale on the Snowflake Data Cloud.

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What is Snowflake Data Analyst Training about?

This two‐day, role‐specific course introduces data analysts to how the Snowflake AI Data Cloud enables them to deliver actionable insights and reports to their organization to drive business value. The course is structured around a data analysis lifecycle placing each capability Snowflake provides in the data analyst’s context. The course begins with how to connect to the Snowflake Data Cloud. It then covers how to analyze, ingest, enrich, report, and diagnose data insights with Snowflake. The course consists of lectures, labs, demonstrations, and discussions.

What are the objectives of Snowflake Data Analyst Training ?

  • Outline the unique and differentiated architecture of the Snowflake AI Data Cloud.
  • Exploit the options provided to connect and interact with the Snowflake AI Data Cloud.
  • Describe how to use BI tools for data analysis in Snowflake.
  • Summarize query constructs, Data Definition Language (DDL), Data Manipulation Language (DML), and Data Query Language (DQL) operations.
  • Use Snowflake’s extensive SQL capabilities and the built‐in table, scalar, window, and estimation functions to support data analysis.
  • Apply Snowflake best practices when working with semi‐structured data.
  • Load and transform data.
  • Visualize data outside of Snowflake.
  • Employ Snowflake features in the reporting process and activities performed by the data analyst to create analytic visualizations.
  • Explain Snowflake’s unique approach to caching and the benefits to query performance.
  • Perform query evaluation, pre‐ and post‐execution, using Snowflake’s Explain, Query History, and Query Profile.

Who is Snowflake Data Analyst Training for?

  • Data Analysts
  • Business Intelligence users

What are the prerequisites for Snowflake Data Analyst Training?

  • Recommended completion of the “Snowflake Multi‐Factor Authentication (MFA) Essentials” free on‐demand course.
  • Basic knowledge of SQL is required.

Available Training Modes

Live Online Training

2 Days

Classroom Training

2 Days

Course Outline Expand All

Expand All

  • WhySnowflake?
  • Snowflake Functional Architecture
  • Platform Features
  • GettingStarted with Snowflake
  • Snowflake Architecture Layers
  • Snowflake Structure
  • Information Schema and Account Usage
  • Using Parameters to Control Snowflake
  • QueryTags
  • Sample Data Sets
  • Client Interface Overview
  • Authentication
  • Snowsight
  • SnowSQL
  • Connecting Tools to Snowflake
  • Data Definition Language (DDL)
  • Data Manipulation Language (DML)
  • Data Query Language (DQL)
  • Set Operations and Joins
  • Subqueries and Common Table Expressions
  • Dynamic Pivot Queries
  • Constructing Efficient Queries
  • Copilot
  • Function Overview
  • EstimationFunctions
  • User‐defined Functions
  • Stored Procedures
  • Snowflake Scripting
  • Collation
  • Sampling
  • Snowflake Tasks
  • Alerts
  • WindowFunctions, Syntax, and Usage
  • GroupByandGrouping Sets
  • Recursive With and Connect By Semi‐structured Data
  • Semi‐structured Data Overview
  • QuerySemi‐structured Data
  • TimeTravel
  • Cloning
  • Data Loading Concepts
  • Examples of Data Loading
  • Explore Data
  • Prepare Data
  • Analyze Data
  • Visualize Data
  • Integrate BI Tools
  • Metadata and Caching Overview
  • Metadata
  • QueryResult Cache
  • Data Cache
  • QueryPruning
  • Using Explain
  • Using Query Profile
  • SQL Performance Tips
  • Performance Bottlenecks

Who is the instructor for this training?

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

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