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Data Science Beginner Course
Unlock the power of data in the music scene with our Data Science for Rookies Course, specifically designed for music professionals. Dive right into data collection, learn how to access public datasets, and suss out reliable sources. Master data cleaning, sort out missing data, and transform formats. Explore data visualisation with tools like Matplotlib, creating impactful line graphs and bar charts. Analyse trends, understand cultural influences, and draw actionable insights. Boost your music career with data-driven decisions today, hey!
- Access public datasets: Discover and utilise open data for music analysis.
- Visualise data: Create compelling graphs to illustrate musical trends.
- Clean and prepare data: Ensure accuracy by handling missing and duplicate data.
- Analyse trends: Identify patterns and correlations in music data.
- Use Python and Pandas: Master essential tools for music data manipulation.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data in the music scene with our Data Science for Rookies Course, specifically designed for music professionals. Dive right into data collection, learn how to access public datasets, and suss out reliable sources. Master data cleaning, sort out missing data, and transform formats. Explore data visualisation with tools like Matplotlib, creating impactful line graphs and bar charts. Analyse trends, understand cultural influences, and draw actionable insights. Boost your music career with data-driven decisions today, hey!
Elevify advantages
Develop skills
- Access public datasets: Discover and utilise open data for music analysis.
- Visualise data: Create compelling graphs to illustrate musical trends.
- Clean and prepare data: Ensure accuracy by handling missing and duplicate data.
- Analyse trends: Identify patterns and correlations in music data.
- Use Python and Pandas: Master essential tools for music data manipulation.
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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