The Looker Business Analyst exam assessed one’s ability to:
- Scheduling and sharing Looks and dashboards
- Table calculations and Looker expressions
- Customize and advanced filters
- The impacts of pivoting
- Best practices around designing dashboards
- The fundamentals of caching
Course content
Analyze
Use Looker Explores to query data and create actionable metrics in a given scenario
- Utilize requirements and create queries using fields (e.g., dimensions, measures, filters, pivots)
- Determine additional metrics needed and construct custom metrics using table calculations
- Determine how to utilize filters (e.g., standard filters, matches advanced filters, and custom filters)
- Determine which fields to use merge results for joining across different Explores and data sources
Use Looker to validate data accuracy in a given scenario.
- Investigate data results to determine accuracy (e.g., using SQL, drilling, A/B testing, comparisons)
- Investigate discrepancies by viewing row-level data using Explores (e.g., review individual dimension values that make up the result of a measure)
Apply procedural concepts to identify error sources.
- Utilize Looker’s features to determine the cause of the error (e.g., read error message to get context)
- Interpret error message to identify the source (e.g., caused by the database, query, LookML code, permissions, visualizations)
Build
Build dashboards to meet business requirements.
- Construct dashboards to meet requirements (e.g., using dashboard filters, merged results)
- Apply procedural concepts to design impactful dashboards (e.g., storytelling, tile organization, use of text tiles, amount of data per dashboard)
Deliver reports for data consumers.
- Determine appropriate report delivery methods (e.g., file format, destination, delivery cadence, recipients, scheduling, sending, downloading, test delivery)
- Determine appropriate download configurations (e.g., no option for unlimited downloads, table calculations, pivots, lack of permissions, database limitations)
Use visualization types to meet analysis requirements in a given scenario.
- Select appropriate visualizations to illustrate data results (e.g., bar, line, scatter, column, pie)
- Determine which visualization settings to use (e.g., conditional formatting, subtotals, double axis, value label format using spreadsheet functions, grouping)
Curate
Apply procedural concepts to curate content for intuitive navigation.
- Determine appropriate setups for folders and boards (e.g., structures, subfolders, hierarchy)
- Apply naming conventions to identify folders, boards, or other content for users (e.g., clear titles, description fields, naming folders, content, and conventions)
Apply procedural concepts to control content access for security.
- Utilize appropriate Explores based on audience to prevent data leak (e.g., restricting sensitive data to specific users)
- Assign folders and boards permissions to organize content based on user groups
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Course Prerequisites
NoneWho can attend
- Business Users who need to draw insights from data. Data Analysts who are responsible for data analysis and visualization within their organizations.
Number of Hours: 30hrs
Certification
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