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Data Science Beginner Course
Unlock di power weh data have fi give yuh inna di music bizniz wid wi Data Science Beginner Course, tailor-made fi music professionals. Dive een and learn how fi collect data, find public datasets, and spot di reliable source dem. Learn how fi clean up data, sort out when data missin', and change up di format dem. Tek a look a data visualization wid tools like Matplotlib, mekkin' line graph and bar chart weh pack a punch. Analyze di trends dem, understand how culture influence di music, and draw out di useful tings dem weh yuh can use. Boost yuh music career today wid data-driven decisions!
- Find public datasets: Discover and use open data fi analyze music.
- Visualize data: Mek graph weh people can understand easy fi show di trends weh deh gwaan inna di music.
- Clean and prepare data: Mek sure seh di data accurate by sortin' out when ting missin' or duplicate.
- Analyze trends: Find di patterns dem and how tings relate to each other inna music data.
- Use Python and Pandas: Master di tools dem weh yuh need fi play wid music data.

from 4 to 360h flexible workload
certificate recognized by the MEC
What will I learn?
Unlock di power weh data have fi give yuh inna di music bizniz wid wi Data Science Beginner Course, tailor-made fi music professionals. Dive een and learn how fi collect data, find public datasets, and spot di reliable source dem. Learn how fi clean up data, sort out when data missin', and change up di format dem. Tek a look a data visualization wid tools like Matplotlib, mekkin' line graph and bar chart weh pack a punch. Analyze di trends dem, understand how culture influence di music, and draw out di useful tings dem weh yuh can use. Boost yuh music career today wid data-driven decisions!
Elevify advantages
Develop skills
- Find public datasets: Discover and use open data fi analyze music.
- Visualize data: Mek graph weh people can understand easy fi show di trends weh deh gwaan inna di music.
- Clean and prepare data: Mek sure seh di data accurate by sortin' out when ting missin' or duplicate.
- Analyze trends: Find di patterns dem and how tings relate to each other inna music data.
- Use Python and Pandas: Master di tools dem weh yuh need fi play wid music data.
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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