Visual perception, color theory and choosing the right chart type.
Data Visualization Fundamentals
- Principles of Visual Perception
- Use of Color and Typography
- Chart Type Decision Matrix
- Data-Ink Ratio
Turn raw data into clear, striking visual stories. Design modern dashboards with Tableau, Power BI and Python libraries, and speed up data-driven decision processes.
Start the application process to develop your visualization skills with Tableau, Power BI and Python.
The 36-hour program starts from visualization principles and moves on to dashboard design with Tableau and Power BI, advanced visualization with Python and data storytelling.
Visual perception, color theory and choosing the right chart type.
The Tableau interface, calculated fields and parameters.
Power BI visualization components and interactive filters.
Matplotlib, Seaborn and interactive Plotly charts.
Executive summaries, KPI indicators and decision-support dashboards.
Get direct information about the class schedule, attendance format, project structure and program scope.
Turn the concepts you learn into technical, practical skills you can use in real scenarios.
Pick the chart that fits the data using visual perception principles and the decision matrix.
Design interactive dashboards with calculated fields, LOD and parameters.
Build interactive reports with cards, slicers and DAX measures.
Create statistical and dynamic charts with Matplotlib, Seaborn and Plotly.
Communicate findings to stakeholders with KPI indicators and executive summaries.
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Get information about the current group dates and application requirements of the 36-hour Data Visualization program.