Data Analytics with Tableau
- This course provides students with skills in data visualization and analytics using Tableau, a powerful tool widely used in business intelligence. Tableau helps transform complex data into intuitive and interactive visual representations, making data insights accessible. The course covers the following areas:
- Getting Started with Tableau: Students will learn the fundamentals of Tableau, including the interface, connecting to various data sources, and loading data for analysis.
- Data Visualization Principles: This section covers best practices for visual storytelling. Students will learn to choose the right chart types, create dashboards, and use color, shape, and size to convey insights effectively.
- Creating Charts and Graphs: Students will create various visualizations, including bar charts, line charts, scatter plots, heat maps, and tree maps, allowing them to present data in diverse formats.
- Data Filtering and Aggregation: The course teaches students how to filter and aggregate data to focus on relevant insights, allowing them to analyze large datasets quickly and efficiently.
- Calculated Fields and Table Calculations: Students will learn how to use calculated fields and table calculations for advanced analysis, such as running totals, moving averages, and custom metrics.
- Building Interactive Dashboards: This section covers building dynamic and interactive dashboards by combining multiple visualizations and adding filters, actions, and drill-down features for deeper insights.
- Sharing and Publishing Reports: Students will learn how to share their work with others by publishing reports on Tableau Server or Tableau Public, making data insights accessible to stakeholders.
This Tableau course is suitable for beginners and professionals seeking to enhance their data visualization skills. By the end, students will be able to create insightful dashboards and visualizations, making data analysis more engaging and actionable for business decisions.