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Data Visualization Technician Course
Tek yuh statistical skills to di next level wid wi Data Visualization Technician Course, weh design fi di professional dem weh ready fi tun data inta captivating visual story. Master important tools like Power BI, Python libraries, and Tableau. Dive deep inta advanced techniques, including how fi use color good, build interactive dashboard, and tell story wid data. Strengthen yuh foundation wid statistical analysis, data preprocessing, and insightful reporting. Learn practical skills fi create visualization dem weh mek impact and communicate findings clearly, all tru concise, high-quality lesson dem.
- Master Power BI, Tableau, and Python fi mek dynamic data visualization.
- Design chart dem weh ketch di eye: pie chart, bar chart, and time series chart fi give impactful insights.
- Use advanced techniques: storytelling, color theory, and interactive dashboard.
- Conduct statistical analysis: inferential, descriptive, and find correlation.
- Clean and prepare data: deal wid missing data and find di important dataset dem.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Tek yuh statistical skills to di next level wid wi Data Visualization Technician Course, weh design fi di professional dem weh ready fi tun data inta captivating visual story. Master important tools like Power BI, Python libraries, and Tableau. Dive deep inta advanced techniques, including how fi use color good, build interactive dashboard, and tell story wid data. Strengthen yuh foundation wid statistical analysis, data preprocessing, and insightful reporting. Learn practical skills fi create visualization dem weh mek impact and communicate findings clearly, all tru concise, high-quality lesson dem.
Elevify advantages
Develop skills
- Master Power BI, Tableau, and Python fi mek dynamic data visualization.
- Design chart dem weh ketch di eye: pie chart, bar chart, and time series chart fi give impactful insights.
- Use advanced techniques: storytelling, color theory, and interactive dashboard.
- Conduct statistical analysis: inferential, descriptive, and find correlation.
- Clean and prepare data: deal wid missing data and find di important dataset dem.
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 are saying
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