Data Science Beginner Course
What will I learn?
Unlock the power of data in the music industry with our Data Science Beginner Course, specially designed for music professionals in Namibia. Get stuck in with data collection, learn how to access public datasets, and find proper reliable sources. Learn how to clean data properly, handle data that's missing or incomplete, and change formats like a boss. Explore data visualization with tools like Matplotlib, creating proper line graphs and bar charts that make sense. Analyze trends, understand how culture affects things, and get actionable insights you can actually use. Level up your music career with decisions based on data, sharp sharp!
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Access public datasets: Discover and use open data for music analysis.
Visualize data: Create graphs that catch the eye to show musical trends.
Clean and prepare data: Make sure your data is spot on by dealing with missing and duplicate entries.
Analyze trends: Find patterns and connections in music data.
Use Python and Pandas: Become a master of essential tools for playing around with music data.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.