Data Science Beginner Course
What will I learn?
Unlock the power of data in the music industry with our Data Science Basic Course, specifically designed for music professionals. Delve into data collection, learn how to access public datasets, and identify reliable sources. Master data cleaning techniques, handle missing data effectively, and transform data formats. Explore data visualization using tools like Matplotlib, creating impactful line graphs and bar charts. Analyze trends, understand cultural influences, and derive actionable insights. Boost your music career by making data-driven decisions today!
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Access public datasets: Discover and utilise open data for music analysis.
Visualize data: Create compelling graphs to illustrate music 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
Workload: between 4 and 360 hours
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
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 it offers practical and relevant knowledge for your professional journey.