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Data Visualization Technician Course
Boost your stats know-how with our Data Visualisation Technician Course, designed for professionals keen to turn data into lekker visual stories. Master essential tools like Power BI, Python libraries, and Tableau. Dive into advanced techniques, including using colours effectively, interactive dashboards, and data storytelling. Build a strong base with statistical analysis, data preprocessing, and sharp reporting. Get proper practical skills to create visuals that grab attention and communicate what you find properly, all through lessons that are short, sweet, and high-quality.
- Master Power BI, Tableau, and Python for dynamic data visuals.
- Design proper charts: pie, bar, and time series for insights that pack a punch.
- Use advanced techniques: storytelling, colour schemes, and interactive dashboards.
- Do statistical analysis: inferential, descriptive, and correlation insights.
- Clean up and preprocess data: sort out missing data and spot key datasets.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Boost your stats know-how with our Data Visualisation Technician Course, designed for professionals keen to turn data into lekker visual stories. Master essential tools like Power BI, Python libraries, and Tableau. Dive into advanced techniques, including using colours effectively, interactive dashboards, and data storytelling. Build a strong base with statistical analysis, data preprocessing, and sharp reporting. Get proper practical skills to create visuals that grab attention and communicate what you find properly, all through lessons that are short, sweet, and high-quality.
Elevify advantages
Develop skills
- Master Power BI, Tableau, and Python for dynamic data visuals.
- Design proper charts: pie, bar, and time series for insights that pack a punch.
- Use advanced techniques: storytelling, colour schemes, and interactive dashboards.
- Do statistical analysis: inferential, descriptive, and correlation insights.
- Clean up and preprocess data: sort out missing data and spot 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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