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Data Visualization Technician Course
Enhance your statistical proficiency with our Data Visualisation Technician Course, tailored for professionals keen on converting data into engaging visual narratives. Become proficient in key tools like Power BI, Python libraries, and Tableau. Explore advanced methodologies, including effective colour usage, interactive dashboards, and data storytelling. Reinforce your understanding with statistical analysis, data pre-processing, and insightful reporting. Acquire practical abilities to develop influential visualisations and communicate outcomes efficiently, all through concise, top-notch lessons.
- Gain mastery in Power BI, Tableau, and Python for dynamic data visualisations.
- Create impactful charts: pie, bar, and time series charts for insightful observations.
- Implement advanced techniques: storytelling, colour schemes, and interactive dashboards.
- Perform statistical analysis: inferential, descriptive, and correlation insights.
- Clean and pre-process data: manage missing data and pinpoint essential datasets.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Enhance your statistical proficiency with our Data Visualisation Technician Course, tailored for professionals keen on converting data into engaging visual narratives. Become proficient in key tools like Power BI, Python libraries, and Tableau. Explore advanced methodologies, including effective colour usage, interactive dashboards, and data storytelling. Reinforce your understanding with statistical analysis, data pre-processing, and insightful reporting. Acquire practical abilities to develop influential visualisations and communicate outcomes efficiently, all through concise, top-notch lessons.
Elevify advantages
Develop skills
- Gain mastery in Power BI, Tableau, and Python for dynamic data visualisations.
- Create impactful charts: pie, bar, and time series charts for insightful observations.
- Implement advanced techniques: storytelling, colour schemes, and interactive dashboards.
- Perform statistical analysis: inferential, descriptive, and correlation insights.
- Clean and pre-process data: manage missing data and pinpoint essential 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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