TDA-C01 Tableau Certified Data Analyst
Data Analytics
COURSE OVERVIEW
The Tableau Certified Data Analyst certification is intended for individuals who enable stakeholders to make business decisions by understanding the business problem, identifying data to explore for analysis, and delivering actionable insights.
This credential validates both core Tableau knowledge and hands-on development skills of employees, partners, customers, and freelancers, who need to work with various Tableau products including Tableau Desktop, Tableau Prep, and either Tableau Server or Tableau Online.
Duration: 2 days / 16 hours
Delivery Method: Classroom-based, Virtual Instructor Led Training
COURSE OBJECTIVES
By the end of this course, participants will be able to:
· Connect to, prepare, and transform data from various sources using Tableau Desktop and Tableau Prep.
· Analyze data using calculations, filters, parameters, table calculations, and analytical features.
· Create interactive visualizations, dashboards, and stories that deliver actionable business insights.
· Apply data modeling and geographic analysis techniques to support informed decision-making.
· Publish, manage, and maintain Tableau content on Tableau Server and Tableau Cloud.
· Develop the knowledge and practical skills required to successfully prepare for the Tableau Certified Data Analyst certification exam.
COURSE OUTLINE
Domain 1: Connect to and Transform Data
· Connect to Data Sources
o Choose an appropriate data source
o Choose between live connection or extract
o Connect to extracts
o Connect to spreadsheets
o Connect to .hyper files (or .tde files)
o Connect to relational databases
o Pull data from relational databases by using custom SQL queries
o Connect to a data source on Tableau Server
o Replace the connected data source with another data source for an existing chart or sheet
· Prepare data for analysis
o Assess data quality (completeness, consistency, accuracy)
o Perform cleaning operations.
o Organize data into folders.
o Use multiple data sources (establish relationships, create joins, union tables, blend data)
o Prepare data by using Data Interpreter, pivot, and split.
o Create extract filters.
· Perform data transformation in Tableau Prep
o Choose which data transformation to perform based on a business scenario.
o Combine data by using unions.
o Combine data by using joins.
o Shape data by using aggregations.
o Perform filtering.
o Shape data by using pivots
· Customize fields
o Change default field properties (types, sorting, etc.)
o Rename columns.
o Choose when to convert between discrete and continuous.
o Choose when to convert between dimensions and measure
o Create aliases
Domain 2: Explore and Analyze Data
· Create calculated fields
o Write date calculations (DATEPARSE, DATENAME…)
o Write string functions.
o Write logical and Boolean expressions (If, case, nested, etc.)
o Write number functions.
o Write type conversion functions.
o Write aggregate functions.
o Write FIXED LOD calculations
· Create quick table calculations
o Moving average
o Percent of total
o Running total
o Difference and percent of difference
o Percentile
o Compound growth rate
· Create custom table calculations
o Year to date
o Month to date
o Year over year
o Index
o Ranking
o First last
· Create and use filters
o Apply filters to dimensions and measures.
o Configure filter settings including Top N, Bottom N, include, exclude, wildcard, and conditional.
o Add filters to context.
o Apply filters to multiple sheets and data sources
· Create parameters to enable interactivity
o In calculations
o With filters
o With reference lines
· Structure the data
o Sets
o Bins
o Hierarchies
o Groups
· Map data geographically
o Create symbol maps.
o Create heat maps.
o Create density maps
o Create choropleth maps (filled maps)
· Summarize, model, and customize data by using the Analytics feature
o Totals and subtotals
o Reference lines
o Reference bands
o Average lines
o Trend lines
o Distribution bands
o Forecast by using default settings.
o Customize a data forecasting model.
o Create a predictive model
Domain 3: Create Content
· Create charts
o Create basic charts from scratch (bar, line, pie, highlight table, scatter plot, histogram, tree map, bubbles, data tables, Gantt, box plots, area, dual axis, combo)
o Sort data (including custom sort)
· Create dashboards and stories
o Combine sheets into a dashboard by using containers and layout options.
o Add objects.
o Create stories
· Add interactivity to dashboards
o Apply a filter to a view
o Add filter, URL, and highlight actions.
o Swap sheets by using parameters or sheet selectors.
o Add navigation buttons.
o Implement user guiding sentences (click…, hover…, menu options)
· Format dashboards
o Apply color, font, shapes, styling.
o Add custom shapes and color palettes.
o Add annotations.
o Add tooltips.
o Apply padding.
o Remove gridlines, row-level and column-level bands, and shading.
o Apply responsive design for specific device layouts.
Domain 4: Publish and Manage Content on Tableau Server and Tableau Cloud
· Publish Content
o Publish a workbook.
o Publish a data source.
o Print content
o Export content
· Schedule data updates
o Schedule data extract refreshes
o Schedule a Tableau Prep workflow
· Manage Published workbooks.
o Create alerts.
o Create subscriptions.
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