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Data Visualization Technician Course
Improve your statistics skills with our Data Visualization Technician Course, created for professionals who want to change data into interesting visual presentations. Become an expert in important tools like Power BI, Python libraries, and Tableau. Learn advanced methods, like using colors effectively, creating interactive dashboards, and telling stories with data. Strengthen your understanding with statistical analysis, data preparation, and useful reporting. Develop practical skills to create strong visualizations and share findings effectively, all through clear, quality lessons.
- Become an expert in Power BI, Tableau, and Python for creating impressive data visualizations.
- Design excellent charts, like pie, bar, and time series, to show important data points.
- Use advanced methods, such as storytelling, color techniques, and interactive dashboards.
- Perform statistical analysis, including inferential, descriptive, and correlation analysis, to gain insights.
- Clean and prepare data by dealing with missing information and finding key datasets.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Improve your statistics skills with our Data Visualization Technician Course, created for professionals who want to change data into interesting visual presentations. Become an expert in important tools like Power BI, Python libraries, and Tableau. Learn advanced methods, like using colors effectively, creating interactive dashboards, and telling stories with data. Strengthen your understanding with statistical analysis, data preparation, and useful reporting. Develop practical skills to create strong visualizations and share findings effectively, all through clear, quality lessons.
Elevify advantages
Develop skills
- Become an expert in Power BI, Tableau, and Python for creating impressive data visualizations.
- Design excellent charts, like pie, bar, and time series, to show important data points.
- Use advanced methods, such as storytelling, color techniques, and interactive dashboards.
- Perform statistical analysis, including inferential, descriptive, and correlation analysis, to gain insights.
- Clean and prepare data by dealing with missing information and finding key datasets.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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