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

Menterns at work

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

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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

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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)

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What you’ll need before starting

Python, EDA

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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.

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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.

Explore our curated Resource Hub

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