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Data Science Beginner Course
Open di way for data in di music industry ku thina Data Science Beginner Course, wey dem design am for music professionals. Dive deep into data collection, learn how for access public datasets, and know which sources reliable. Clean data well-well, manage any data wey loss, and change am to di right format. See how for visualize data with tools like Matplotlib, make line graphs and bar charts wey go show something. Analyze trends, understand how culture affect music, and get ideas wey you fit use. Make your music career better with data!
- Access public datasets: Find and use open data for music analysis.
- Visualize data: Make fine graphs for show musical trends.
- Clean and prepare data: Make sure data correct by managing data wey loss or dey twice.
- Analyze trends: See di patterns and how things relate to each other in music data.
- Use Python and Pandas: Master important tools for play with music data.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Open di way for data in di music industry ku thina Data Science Beginner Course, wey dem design am for music professionals. Dive deep into data collection, learn how for access public datasets, and know which sources reliable. Clean data well-well, manage any data wey loss, and change am to di right format. See how for visualize data with tools like Matplotlib, make line graphs and bar charts wey go show something. Analyze trends, understand how culture affect music, and get ideas wey you fit use. Make your music career better with data!
Elevify advantages
Develop skills
- Access public datasets: Find and use open data for music analysis.
- Visualize data: Make fine graphs for show musical trends.
- Clean and prepare data: Make sure data correct by managing data wey loss or dey twice.
- Analyze trends: See di patterns and how things relate to each other in music data.
- Use Python and Pandas: Master important tools for play with music data.
Suggested summary
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