Data Science
Analyze Mobile App Data on various platforms and generate recommendations based on the analysis and various metrics available in the datasets using Python
Mine the data from playstore and find out what are the hottest, most profitable app categories. You will need to use Python (Data Science) for this menternship.
Certified by
Varun Pawar
Co-founder, PortalFrame
Role
Data Analyst
Industry
SAAS
No. of Subscribers
66
Level
Intermediate
Time Commitment
Submit First Draft in 30 days
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
Portal Frame uses ML-powered solutions to help businesses transform their ROI. Their current mission is to help retailers find the best locations in 50+ Indian cities by triangulating about customers' work, home and socialisation spots. Portal Frame is working on the edge of an emerging tech industry - Data as a Service. The company brings to you a menternship that challenges you to identify the app categories that generate the most revenue on Google Play Store and Apple app store.
Explore
the following work techniques
Python Programming
Jupyter Notebook
Apps data from Google Play Store and Apple Store
Bridging the gap
Every month approximately 75000 apps are launched on the Play Store. Unsurprisingly, the biggest category is that of games. But, did you know that the second biggest app category is that of Education? There are many interesting insights to be unearthed by exploring the app data that measures performance of apps across categories. These insights can be utilized by technology startups to identify their niche and launch their product.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Expected output
In this menternship, you will be identifying the attributes that can predict the success of a mobile application on Android and Apple app stores.
Create
the following deliverables
EDA of the given dataset
A report on which app profiles are the most profitable in terms of revenue from Ads across both platforms (iOS and Android)
What you’ll need before starting
Python, EDA