Data Science Beginner Course
What will I learn?
Unlock the power of data for the music scene in The Gambia with our Data Science Beginner Course, made especially for music people like you. We'll start with how to collect data and find good public datasets, showing you how to know which sources to trust. You'll learn how to clean up data, deal with missing bits, and change formats properly. Then, we'll look at showing data visually using tools like Matplotlib, making useful line graphs and bar charts. We'll analyze trends, understand how culture affects things, and get smart ideas you can actually use. Level up your music career by making decisions based on data!
Apoia's Unique Features
Develop skills
Strengthen the development of the practical skills listed below
Find public datasets: Learn how to discover and use freely available data for analyzing music in The Gambia.
Show data visually: Create eye-catching graphs to show musical trends that people can easily understand.
Clean and prepare data: Make sure your data is correct by dealing with missing information and duplicates.
Analyze trends: Spot patterns and relationships in music data.
Use Python and Pandas: Get good at using the important tools for working with music data.
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.