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Data Science Beginner Course
Unlock the power of data in the music industry in Lesotho with our Data Science Beginner Course, specifically designed for music professionals like you. You'll learn how to gather data, access publicly available datasets, and make sure your sources are reliable. We'll cover cleaning data, dealing with missing information, and changing data formats. Explore data visualization using tools like Matplotlib to create strong line graphs and bar charts. Analyze trends in Lesotho's music scene, understand cultural influences on music, and come up with practical ideas you can use. Boost your music career in Lesotho by making smart decisions based on data!
- Access public datasets: Find and use open data for music analysis relevant to Lesotho.
- Visualize data: Create graphs that clearly show musical trends in Lesotho.
- Clean and prepare data: Make sure your data is accurate by handling missing and duplicate information properly.
- Analyze trends: Spot patterns and connections within Lesotho's music data.
- Use Python and Pandas: Become skilled in using these important tools to work with music data.

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the power of data in the music industry in Lesotho with our Data Science Beginner Course, specifically designed for music professionals like you. You'll learn how to gather data, access publicly available datasets, and make sure your sources are reliable. We'll cover cleaning data, dealing with missing information, and changing data formats. Explore data visualization using tools like Matplotlib to create strong line graphs and bar charts. Analyze trends in Lesotho's music scene, understand cultural influences on music, and come up with practical ideas you can use. Boost your music career in Lesotho by making smart decisions based on data!
Elevify advantages
Develop skills
- Access public datasets: Find and use open data for music analysis relevant to Lesotho.
- Visualize data: Create graphs that clearly show musical trends in Lesotho.
- Clean and prepare data: Make sure your data is accurate by handling missing and duplicate information properly.
- Analyze trends: Spot patterns and connections within Lesotho's music data.
- Use Python and Pandas: Become skilled in using these important tools to work with music data.
Suggested summary
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.What our students say
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