Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Connecting to Datasources
- Loading data into Tableau.
- Combining data tables – join.
- Combining data from different sources – merge.
- Extracting data to Tableau format.
- Executing SQL queries.
- Data management.
- Renaming data fields.
- Creating parameters (workbook variables).
- Working with metadata.
Effective Visualizations
- Characteristics of high-quality visualizations.
- Selecting the appropriate chart type.
- The role of color in data storytelling.
- Avoiding misleading the audience.
- Industry best practices.
Calculations
- Arithmetic calculations.
- Working with string data.
- Operations involving dates and time.
- Array calculations.
- Conditional and logical expressions.
- Conditional filtering.
Processing Array Data
- Key differences between Excel and Tableau.
- Processing arrays within Tableau.
- Writing custom SQL statements.
Statistics
- Adding reference and trend lines.
- Calculating descriptive statistics.
- Computing subtotals.
- Aggregation and disaggregation techniques.
- Forecasting methods.
Building Effective Dashboards
- Integrating various visualizations.
- Dashboards formatting.
- Adding filters and actions to create interactive dashboards.
- Creating aesthetically pleasing dashboards.
- Best practices for dashboard creation.
Sharing Dashboards
- Publishing to Tableau Reader.
- Publishing to Tableau Server.
- Publishing to PDF format.
Requirements
- A solid understanding of fundamental 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.
