Data Science Beginner Course
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!
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
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
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.