Data Science
Use Data Analytics to Study Music Streaming Patterns
Help perfect music recommendation systems for its clients using a data analytics tool of your choice
About this Menternship
Opportunity: is a visionary tech company that makes it possible for its clients to process their data from diverse apps like WhatsApp, Google Drive, Kindle, Spotify and Redditt on a single platform.

Did you know that over 60,000 songs are uploaded to Spotify every day, Netflix has a library of over 50,000 titles, And, YouTube - the biggest content aggregator of them all - adds 500 hours of content to its platform every minute? In order to keep a user engaged, it is vital for streaming services to generate relevant recommendations based on user data. Without these recommendations, it might be almost impossible for a user to continue navigating the sheer volume of content available on these sites.

In this menternship, you will investigate the methods of data analytics utilized by music, video and podcast streaming services to generate recommendations, and use data from a music app to create a recommender system of your own.

Why take up this Menternship?
On completing this Menternship, you will learn about
You will explore:
MS Excel

You will apply:
Data wrangling 
Modeling and evaluation
Data visualization

You will create:
Music recommender system for audio listeners

Expected Output
  1. Report (Data analytics process and Streaming Services)
  2. Tabulated Data with the necessary variables
  3. Visual representation of the data
  4. Analysis report
  5. Video of Self
Use Data Analytics to Study Music Streaming Patterns
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