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Data Science Beginner Course
Unlock the power of data in the music industry with our Data Science Beginner Course, tailored for music professionals. Dive into data collection, learn to access public datasets, and identify reliable sources. Master data cleaning, handle missing data, and transform formats. Explore data visualization with tools like Matplotlib, creating impactful line graphs and bar charts. Analyze trends, understand cultural influences, and draw actionable insights. Elevate your music career with data-driven decisions today!
- Access public datasets: Discover and utilize open data for music analysis.
- Visualize data: Create compelling graphs to illustrate musical trends.
- Clean and prepare data: Ensure accuracy by handling missing and duplicate data.
- Analyze 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 industry with our Data Science Beginner Course, tailored for music professionals. Dive into data collection, learn to access public datasets, and identify reliable sources. Master data cleaning, handle missing data, and transform formats. Explore data visualization with tools like Matplotlib, creating impactful line graphs and bar charts. Analyze 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 utilize open data for music analysis.
- Visualize data: Create compelling graphs to illustrate musical trends.
- Clean and prepare data: Ensure accuracy by handling missing and duplicate data.
- Analyze 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 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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