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Data Visualization Technician Course
Enhance your statistical expertise with our Data Visualisation Technician Course, designed for professionals keen to transform data into compelling visual stories. Master essential tools such as Power BI, Python libraries, and Tableau. Delve into advanced techniques, including effective colour use, interactive dashboards, and data storytelling. Strengthen your foundation with statistical analysis, data pre-processing, and insightful reporting. Gain practical skills to create impactful visualisations and communicate findings effectively, all through concise, high-quality lessons.
- Master Power BI, Tableau, and Python for dynamic data visualisations.
- Design compelling charts: pie, bar, and time series for impactful insights.
- Implement advanced techniques: storytelling, colour, and interactive dashboards.
- Conduct statistical analysis: inferential, descriptive, and correlation insights.
- Clean and pre-process data: handle missing data and identify key datasets.

4 to 360 hours flexible workload
certificate recognised by MEC
What will I learn?
Enhance your statistical expertise with our Data Visualisation Technician Course, designed for professionals keen to transform data into compelling visual stories. Master essential tools such as Power BI, Python libraries, and Tableau. Delve into advanced techniques, including effective colour use, interactive dashboards, and data storytelling. Strengthen your foundation with statistical analysis, data pre-processing, and insightful reporting. Gain practical skills to create impactful visualisations and communicate findings effectively, all through concise, high-quality lessons.
Elevify advantages
Develop skills
- Master Power BI, Tableau, and Python for dynamic data visualisations.
- Design compelling charts: pie, bar, and time series for impactful insights.
- Implement advanced techniques: storytelling, colour, and interactive dashboards.
- Conduct statistical analysis: inferential, descriptive, and correlation insights.
- Clean and pre-process data: handle missing data and identify 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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