Data Analytics
Use Data Analytics to Study Music Streaming Patterns
Collect various music listeners' data and analyse it to understand their music streaming patterns & recommend songs based on their previous preferences.
Dipika Prasad
Co-founder, Lakeer
About this menternship
Streaming services have taken the entertainment industry to the next level by curating personalised recommendations for their users. They make use of different tools of data analytics to understand their users through their streaming patterns and present curated content to them. This makes their user feel valued and creates brand loyalty. 

In this Menternship, you will have to collect data based on the most frequently played songs of various users and analyse it to understand their music streaming patterns. It will help you understand how user data helps streaming services personalise services. 

Lakeer builds the case for data-driven governance and inclusive urban planning to administrators who lead the planning, budgeting and day-to-day running of our cities.
They have partnered with MentorMind to help students understand the scope of data analytics and visualisation.

Why take up this menternship?
On completing this menternship, you will learn about
  1. How brands use customer data to personalise services 
  2. Process of Data Analysis 
  3. Tools used for Data Analytics 
  4. Analysing Visual Representation of Data 

Expected Output
  1. Report (Data analytics process and Streaming Services)
  2. Tabulated Data with the necessary variables
  3. Analysis report
  4. Visual representation of the data
  5. Video of Self
Use Data Analytics to Study Music Streaming Patterns
This menternship offers
People with experience in the industry of your choice ready to help you complete the challenges at hand.
Every challenge comes with a certificate on completion from both Mentormind and the company hosting the challenge.
Real life experience
Gain real-time work experience, online. Each challenge comes with resources to help bring the office to where you are.