Data Visualization with Tableau

Course Content:

Introduction to Tableau and its Ecosystem:
Overview of Tableau and its applications in data visualization.
Setting up the working environment and understanding the Tableau interface.
Exploring the different versions of Tableau: Tableau Desktop, Tableau Online and Tableau Server.

Connecting and Preparing Data:
Connecting to various data sources, including Excel files, SQL, cloud databases, and APIs.
Data preparation and cleansing techniques using Tableau Prep.
Data management in Tableau: joining, blending, and filtering data to create reliable data sources.

Fundamentals of Data Visualization:
Principles of designing effective visualizations, including choice of charts, colors, and layouts.
Creating basic charts in Tableau: bar charts, line charts, scatter charts, heat maps, and geographic maps.
Customizing visualizations: titles, labels, legends, and annotations.

Interactive Dashboards and Storytelling with Data:
Design and development of interactive dashboards that allow users to explore data and discover key insights.
Integration of multiple visualizations into a single dashboard, linking charts through actions and filters.
Creating stories with Tableau Story to present data in a narrative and sequential way.

Advanced Analysis with Tableau:
Use of advanced Tableau features, such as table calculations, level of detail (LOD) and parameter calculations.
Application of advanced analytics, such as customer segmentation, cohort analysis, and trend analysis.
Techniques for predictive analytics and data forecasting in Tableau.

Integration of Tableau with other tools and platforms:
Integrating Tableau with R and Python to perform statistical analysis and machine learning.
Connecting Tableau with ETL tools and big data platforms to handle large volumes of data.
Publishing and sharing visualizations and dashboards on Tableau Server and Tableau Online.

Optimization and Best Practices:
Techniques for optimizing dashboard performance, including improving load times and reducing complexity.
Best practices for designing visualizations that maximize clarity and communication effectiveness.
Managing permissions and data security in Tableau.

Final Project:
Development of a comprehensive project where participants will apply all the knowledge acquired to solve a real or simulated business problem by creating an interactive dashboard and data story.
Presentation of the project to a panel of experts to receive detailed feedback.

Additional Benefits:

Certification in Data Visualization with Tableau:
Upon completion of the course, you will receive a certification that validates your proficiency in using Tableau for data visualization, highly valued in the industry.

Access to Exclusive Resources and Templates:
You’ll get access to dashboard templates, example use cases, and additional educational resources to enhance your skills.

Mentoring and Networking:
During the course, you will have the opportunity to interact with expert data visualization mentors and participate in networking events with other industry professionals.

Course duration: 3 months

Modality: 100% online, with live sessions and access to recorded content.