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Data Science Beginner Course
Unlock the power of data in the music industry with our Data Science Starter Course, designed for music professionals in Botswana. Explore data collection, learn how to access public datasets, and find trustworthy sources. Master data cleaning, deal with missing data, and transform formats. Discover data visualisation using tools like Matplotlib, creating impactful line graphs and bar charts. Analyse trends, understand cultural influences, and gain useful insights. Improve your music career with data-driven decisions today!
- Access public datasets: Discover and use open data for music analysis.
- Visualise data: Create clear graphs to show musical trends.
- Clean and prepare data: Make sure data is correct by dealing with missing and duplicate data.
- Analyse trends: Find patterns and connections in music data.
- Use Python and Pandas: Master important tools for music data handling.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data in the music industry with our Data Science Starter Course, designed for music professionals in Botswana. Explore data collection, learn how to access public datasets, and find trustworthy sources. Master data cleaning, deal with missing data, and transform formats. Discover data visualisation using tools like Matplotlib, creating impactful line graphs and bar charts. Analyse trends, understand cultural influences, and gain useful insights. Improve your music career with data-driven decisions today!
Elevify advantages
Develop skills
- Access public datasets: Discover and use open data for music analysis.
- Visualise data: Create clear graphs to show musical trends.
- Clean and prepare data: Make sure data is correct by dealing with missing and duplicate data.
- Analyse trends: Find patterns and connections in music data.
- Use Python and Pandas: Master important tools for music data handling.
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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