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    Snowflake SnowPro Advanced: Data Analyst (DAA-C01) Lessons

    19 lessons, one per exam-guide subdomain, in the order the guide teaches them. Every claim is cited to the official documentation.

    Domain 1: Data Ingestion and Data Preparation

    7 lessons · 17% of the exam

    1. 1.1Retrieving CSV and Semi-Structured Data in Snowflake

      Subdomain 1.1: Use a collection system to retrieve data.

      2 pages · 25 min read

    2. 1.2Snowflake Data Discovery: Context, Metadata, Statistics and Granularity

      Subdomain 1.2: Perform data discovery to identify what is needed from the available datasets.

      2 pages · 22 min read

    3. 1.3Snowflake Marketplace: Find and Get Listings to Enrich Your Data

      Subdomain 1.3: Enrich data by identifying and accessing relevant data from the Snowflake Marketplace.

      2 pages · 22 min read

    4. 1.4Snowflake Primary Keys and Constraints: Declared vs Enforced

      Subdomain 1.4: Use best practice considerations relating to data integrity structures.

      2 pages · 19 min read

    5. 1.5Snowflake Pipeline Automation: Data Quality, Tasks and Task Graphs

      Subdomain 1.5: Implement data processing solutions.

      2 pages · 21 min read

    6. 1.6Loading Files into Snowflake: Snowsight, Stages and COPY INTO

      Subdomain 1.6: Given a scenario, prepare data and load into Snowflake.

      2 pages · 20 min read

    7. 1.7Snowflake Scalar, Aggregate, Window, Table and System Functions

      Subdomain 1.7: Given a scenario, use Snowflake functions.

      2 pages · 22 min read

    Domain 2: Data Transformation and Data Modeling

    5 lessons · 23% of the exam

    1. 2.1Querying JSON in Snowflake: VARIANT, Path Notation and FLATTEN

      Subdomain 2.1: Prepare different data types into a consumable format.

      2 pages · 20 min read

    2. 2.2Data Metric Functions: Finding Data Quality Issues in Snowflake

      Subdomain 2.2: Given a dataset, clean the data.

      2 pages · 26 min read

    3. 2.3Snowflake Aggregates, Window Functions, Ranking and Casting

      Subdomain 2.3: Given a dataset or scenario, work with and query the data.

      2 pages · 22 min read

    4. 2.4Star Schemas and Flattened Data Sets for BI in Snowflake

      Subdomain 2.4: Use data modeling to manipulate the data to meet BI requirements.

      2 pages · 22 min read

    5. 2.5Snowflake Query Profile, EXPLAIN, Partition Pruning and Clustering Keys

      Subdomain 2.5: Optimize query performance.

      2 pages · 23 min read

    Domain 3: Data Analysis

    4 lessons · 32% of the exam

    1. 3.1Snowflake UDFs, UDTFs and Stored Procedures

      Subdomain 3.1: Use SQL extensibility features.

      2 pages · 20 min read

    2. 3.2Snowsight Dashboards, Custom Filters, Worksheets and Notebooks for Descriptive Analysis

      Subdomain 3.2: Perform descriptive analyses.

      19 min read

    3. 3.3Diagnostic Analysis: Collecting Related Data, Trends and Correlation

      Subdomain 3.3: Perform diagnostic analyses.

      2 pages · 25 min read

    4. 3.4Snowflake ML FORECAST: Training Models and Reading Predictions

      Subdomain 3.4: Perform forecasting.

      2 pages · 20 min read

    Domain 4: Data Presentation and Data Visualization

    3 lessons · 28% of the exam

    1. 4.1Snowflake Dashboard Data: Context, Queries, Governance and BI Connections

      Subdomain 4.1: Given a use case, create reports and dashboards to meet business requirements.

      2 pages · 20 min read

    2. 4.2Managing and Sharing Snowsight Dashboards

      Subdomain 4.2: Given a use case, maintain reports and dashboards to meet business requirements.

      2 pages · 19 min read

    3. 4.3Snowsight Charts for Trends, Patterns and Correlations

      Subdomain 4.3: Given a use case, incorporate visualizations for dashboards and reports.

      2 pages · 20 min read