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Data Science Beginner Course
Unlock the power of data in the music industry with our Data Science for Beginners Course, tailored for music industry professionals. Dive into data collection, learn to access public datasets, and identify reliable sources. Master data cleansing, handle 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. Elevate your music career with data-driven decisions today!
- 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.

4 to 360 hours flexible workload
certificate recognized by the MEC
What will I learn?
Unlock the power of data in the music industry with our Data Science for Beginners Course, tailored for music industry professionals. Dive into data collection, learn to access public datasets, and identify reliable sources. Master data cleansing, handle 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. Elevate your music career with data-driven decisions today!
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
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