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Data Visualization Technician Course
Improve your statistical skills with our Data Visualisation Technician Course, created for professionals eager to turn data into easy to understand visual representations. Learn essential tools like Power BI, Python libraries, and Tableau. Explore advanced techniques, including effective use of colour, interactive dashboards, and data storytelling. Build a strong base with statistical analysis, data pre-processing, and detailed reporting. Get practical skills to make impactful visualisations and share findings effectively, all through simple, good quality lessons.
- Learn Power BI, Tableau, and Python for useful data visualisations.
- Create easy to understand charts: pie, bar, and time series for impactful insights.
- Use advanced techniques: storytelling, colour, and interactive dashboards.
- Perform statistical analysis: inferential, descriptive, and correlation insights.
- Clean and pre-process data: manage missing data and find key datasets.

flexible workload from 4 to 360h
certificate recognized by the MEC
What will I learn?
Improve your statistical skills with our Data Visualisation Technician Course, created for professionals eager to turn data into easy to understand visual representations. Learn essential tools like Power BI, Python libraries, and Tableau. Explore advanced techniques, including effective use of colour, interactive dashboards, and data storytelling. Build a strong base with statistical analysis, data pre-processing, and detailed reporting. Get practical skills to make impactful visualisations and share findings effectively, all through simple, good quality lessons.
Elevify advantages
Develop skills
- Learn Power BI, Tableau, and Python for useful data visualisations.
- Create easy to understand charts: pie, bar, and time series for impactful insights.
- Use advanced techniques: storytelling, colour, and interactive dashboards.
- Perform statistical analysis: inferential, descriptive, and correlation insights.
- Clean and pre-process data: manage missing data and find key datasets.
Suggested summary
Before starting, you can change the chapters and 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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