01 //Training course
Snowflake BI
- Track
- Data & Analytics
- Duration
- 45 Days
02 //Why this course
Why this course.
This 45-day program is positioned around using Snowflake as the analytical data platform behind modern BI: ingest and organize data → transform and model it → define trusted business metrics → analyze and visualize results → optimize cost/performance → apply security and governance → expose reusable semantic business logic to BI and AI experiences.
Snowflake BI — Cloud Data Warehousing, SQL Analytics, Data Modeling & Modern BI
Learn Snowflake as an analytical platform, not merely as a SQL database.
03 //Curriculum
Course phases.
04 //Technology stack
The tools you'll work with.
Core platform
Cloud analytical warehouse, SQL, monitoring and administration
Snowflake, Snowsight
SQL analytics
Transformation, analysis and troubleshooting
Snowflake SQL, worksheets, Query Profile
Ingestion
Batch and near-real-time loading patterns
Stages, file formats, COPY INTO, Snowpipe awareness
Transformation
ELT, incremental processing and orchestration
Views, materialized views, Dynamic Tables, Streams/Tasks
Data modeling
Trusted BI metrics and reusable business definitions
Star schema, semantic models, Semantic Views
BI
Visualization and enterprise BI consumption
Snowsight dashboards, Power BI, Tableau
Advanced development
Programmatic data processing and engineering extensions
Snowpark Python, notebooks/Workspaces awareness
Governance
Security, compliance and controlled data access
RBAC, masking policies, row access policies, tags, monitoring
Version control
Change management and reproducible deployment
Git/GitHub; SQL/YAML assets
Optional apps
Interactive data applications and internal analytics experiences
Streamlit in Snowflake
05 //Projects and practice
Learning by doing.
- 01
Snowflake Analytics Warehouse
Load a synthetic business dataset, organize schemas and warehouses, and build a clean analytical SQL layer.
- 02
ELT Pipeline Lab
Build a repeatable transformation flow using Dynamic Tables and compare it with a Streams/Tasks approach.
- 03
Executive KPI Model
Create fact/dimension structures, reusable metrics and a governed business definition layer.
- 04
Snowflake BI Dashboard
Build an executive dashboard in Snowsight and connect the same analytical model to Power BI or Tableau.
- 05
Performance & Cost Lab
Diagnose slow queries, compare warehouse sizing/workload strategies and document cost-control decisions.
- 06
Governance & Production Readiness
Implement role/access patterns, masking/row-access concepts, monitoring and a production runbook.
06 //Capstone
Capstone options.
- 01
Retail BI Platform
sales, customers, products, inventory and regional performance.
- 02
Financial BI Platform
revenue, costs, profitability and executive KPI reporting.
- 03
Marketing BI Platform
campaigns, leads, conversion, channel and customer metrics.
- 04
Operations BI Platform
orders, logistics, SLA, productivity and operational performance.
- 05
SaaS/Product BI Platform
subscriptions, activation, engagement, retention and revenue.
07 //Assessment
How progress is checked.
- Snowflake & SQL foundations
- Ingestion & transformation
- Modeling & semantic layer
- BI dashboard
- Performance & governance
- Integrated capstone
08 //Learning journey
From foundation to capability.
How learning builds through a course. It describes the approach, not a promised outcome.
Foundation to capability
How learning builds
Stage 01
Foundation
The core concepts, vocabulary and tools the rest of the course builds on.
Stage 02
Practice
Guided exercises that turn concepts into working skills.
Stage 03
Application
Applying those skills to realistic problems and project work.
Stage 04
Capability
Using what you've learned with growing independence and judgement.
09 //Questions
Frequently asked questions.
Start learning
Ready to start learning?
Ask about training to talk through where this course fits your goals.
