Mobile App Data Analytics Project

Fermé
MyRide901
Toronto, Ontario, Canada
Founder
(3)
3
Projet
Parcours académique
100 heures de travail au total
Apprenant.e
N'importe où
Niveau Intermédiaire

Portée du projet

Catégories
Visualisation des données Analyse des données Modélisation des données Développement d'applications mobiles Data science
Compétences
diagnostic analysis app store (ios) exploratory data analysis data collection firebase analytics key performance indicators (kpis) data analysis sql (programming language) product roadmaps project scoping
Détails

We are looking for learners to help analyze our mobile app datasets to draw helpful insights. From this analysis, we hope to gain insights that will will drive our product roadmap. These insights will be directly related to business outcomes and help us shape how we need to evolve our business in the future.


The scope includes assessing existing and proposed data sources / datasets against Key Performance Indicators to establish current state and gaps; and implement analysis solutions to address gaps.


Learners will benefit from experience working with a mobile app team to learn about the KPIs and data sources--such as Google Play, The Apple App Store, Google Firebase/Analytics, and relevant to the mobile app industry; and the data


[EMPLOYERS: please expand on the above and share any details as to what your project scope entails, and why a learner would benefit from applying to your project - the more information the better!]

Livrables

This will involve several different steps for the learners, including:


  • Collect data from multiple sources, clean the data, removing duplicates, missing values and resolving inconsistencies
  • Perform in-depth data analysis using spreadsheets to uncover patterns, trends, and insights within the data
  • Utilize formulas, functions, and pivot tables to calculate metrics such as mobile app usage trends, customer segmentation, and / or  product performance
  • Perform descriptive and diagnostic analysis using SQL to gain insights 
  • Apply statistical modelling techniques, such as regression and classification, to identify factors influencing sales and customer behavior
  • Perform exploratory data analysis (EDA) to uncover correlations and relationships between variables using statistical methods and visualizations
  • Create interactive dashboards to visually represent the data
Mentorat

Access to all available data and systems, mentorship time with our engineering team, support with key metrics and performance indicators, and overall supervision.

Causes prises en charge

Les défis mondiaux auxquels ce projet s'attaque, en accord avec les objectifs de développement durable (ODD) des Nations unies. En savoir plus sur les 17 ODD ici.

Climate action

À propos de l'entreprise

Entreprise
Toronto, Ontario, Canada
2 - 10 employé.es
Technology

MyRide901 helps vehicle owners save time by providing a vehicle management app that captures and organizes receipts, images, and service documentation on a timeline that vehicle owners can share with others.