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Course Outline
Connecting to Data Sources
- Loading data into Tableau.
- Combining data tables – join.
- Combining data from different sources – merge.
- Extracting data to Tableau format.
- SQL queries.
- Data management.
- Renaming data.
- Creating parameters (workbook variables).
- Metadata management.
Effective Visualizations
- Characteristics of good visualizations.
- Selecting the appropriate chart type.
- The role of color in data storytelling.
- Techniques to avoid misleading your audience.
- Best practices.
Calculations
- Arithmetic calculations.
- Working with strings.
- Operations on dates and time.
- Array calculations.
- Conditional and logical expressions.
- Conditional filtering.
Processing Array Data
- Differences between Excel and Tableau.
- Processing arrays in Tableau.
- Writing custom SQL statements.
Statistics
- Adding reference and trend lines.
- Calculating descriptive measures.
- Subtotals.
- Aggregation and disaggregation.
- Forecasting.
Building Effective Dashboards
- Combining visualizations.
- Formatting dashboards.
- Adding filters and actions to create interactive dashboards.
- Designing aesthetically pleasing dashboards.
- Best practices for dashboard creation.
Sharing Dashboards
- Publishing to Tableau Reader.
- Publishing to Tableau Server.
- Publishing to PDF.
Requirements
- A foundational understanding of data analysis concepts.
- Previous experience with Tableau or comparable data visualization tools.
- Basic computer proficiency and familiarity with working with datasets.
Target Audience
- Data analysts.
- Business intelligence professionals.
- Anyone seeking to enhance their Tableau skills for data visualization.
14 Hours
Testimonials (1)
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
