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Course Outline
Connecting to Datasources
- Loading data into Tableau
- Combining data tables – join
- Combining data from different sources – merge
- Extracting data to Tableau format
- SQL queries
- Managing data
- Renaming data
- Creating parameters (workbook variables)
- Metadata
Effective Visualizations
- What constitutes a good visualization
- Selecting the appropriate chart type
- The role of color in data storytelling
- Avoiding misleading presentations
- 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 basic data analysis concepts.
- Prior experience with Tableau or comparable data visualization tools.
- Basic computer proficiency and familiarity with working with datasets.
Audience
- Data analysts.
- Business intelligence professionals.
- Individuals 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.
