Business Analytics
Use Data Analytics to Study Music Streaming Patterns
How do Spotify, YouTube and Netflix recommend just the right 'play next'? All you need to figure this out is an internet connect and MS Excel.
Certified by
Role
Data Analyst
Industry
Venture Capital
Menterns at work
220
Level
Basic
Time Commitment
60
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
The Atal Incubation Center within CIE has been set up exclusively for startups that deploy tech innovation for social impact to help India achieve the Sustainable Development Goals (SDGs). As Indian researchers and innovators begin to expand the boundaries of science, Atal Incubation Center provides a platform where these ideas can be turned into sustainable business solutions.
Explore
the following work techniques
MS Excel
Tableau
Learn more about our Menternship Principle
Bridging the gap
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.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Learn more about our Menternship Principle
Expected output
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.
Create
the following deliverables
Research reports on music recommender systems
Music recommender system for audio listeners
Learn more about our Menternship Principle
What you’ll need before starting
Any data analysis tool
Why Do Menternships?
Each Menternship experience is powered by the MentorMind experiential learning model. We empower you as a Mentern to produce your own unique real work output through mentoring, deep-learning & applying your learnings to work.
All our Menternships are co-created with companies. They are designed for real-time work in the corporate function which allows all levers of a work experience to flourish in your Menternship experience.
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Meet Our Certified Menterns
It was amazing! I learnt so many things like creating engagement on social media platforms. The 1:1 with mentors were super helpful. I learnt how to create Instagram ads, identify goals & do competitor analysis- so many things.
There was a lot of interactive sessions with Mentors. The Menternship I completed gave me a new perspective to how work has to be done. I truly enjoyed working with real figures & actual industry case studies. 
My experience was great as I got a chance to explore subjects like Analytics which are difficult to look for. The Menternship allowed to get subject knowledge and see what goes behind the making and delivering of a product.
My experience was very useful as I learnt so much about Fleet Management & Digital Marketing connected to the real-world scenario. I learnt how to actually work with social media channels like IG & Facebook. 
Use Data Analytics to Study Music Streaming Patterns
How do Spotify, YouTube and Netflix recommend just the right 'play next'? All you need to figure this out is an internet connect and MS Excel.
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Get Guidance in One-on-One Mentor Hours
Ask Questions in our Biweekly AMA
Resolve all doubts on Mentor Support Chatbox
Get Actionable Mentor Feedback on your work
Learn & Network at the exclusive Mentern Perks Club