Sentiment Analysis of Google Play Store Reviews PROJECT_DESCRIPTION: This project involves conducting an exploratory data analysis (EDA) for app reviews on Google Play Store, with a specific focus on sentiment analysis. The tasks for this project include
Budget: ₹600 – ₹1,500 INR
Google Play Store EDA & Sentiment Analysis
Performed exploratory data analysis (EDA) on Google Play Store app
reviews, preprocessed text data, and applied sentiment analysis
techniques.
Cleaned and normalized review text using Python libraries.
Built polarity-based insights to understand user sentiment trends.
Created visualizations to showcase positive, negative, and neutral
feedback.
Google Play Store KPI Dashboard (Power BI)
Developed an interactive Power BI dashboard to monitor key
performance indicators (KPIs) for Google Play Store apps.
Visualized app installs, ratings, and sentiment KPIs.
Implemented interactive features like slicers and filters for dynamic
analysis.
Enabled stakeholders to quickly assess app performance and user
sentiment.
Amazon Dataset (SQL Data Modeling)
Designed an Entity-Relationship Diagram (ERD) and relational database
schema for an Amazon dataset.
Enforced data integrity using primary keys, foreign keys, and
constraints.
Structured data for efficient querying and analysis.
Prepared the dataset for analytical and reporting purposes.
Introduction to Computer Programming Capstone (Python)
Completed a capstone project involving 50+ applied programming
problems using Python.
Used if-else, for, and while loops for data processing and
automation.
Built classes/objects to model real-world entities.
Handled errors with try-except for stable execution.
Applied list/set comprehensions for efficient data transformation.
Solved real-world problems with automated scripts, enhancing
problem-solving skills.
Movie Data Web Scraping
Automated the collection of movie titles, genres, and ratings from web
sources using BeautifulSoup.
Extracted structured data from web pages for analysis.
Created a clean dataset for further visualization and insights.
Reduced manual data collection effort through automation.
Tableau Visualization Challenge
Built over 30 interactive dashboards using Tableau to showcase realworld
data insights.
Utilized Tableau features such as calculated fields, parameters,
filters, sets, and maps.
Designed dashboards for both exploratory and presentation
purposes.
Published multiple engaging dashboards on Tableau Public to
demonstrate expertise.
Performed exploratory data analysis (EDA) on Google Play Store app
reviews, preprocessed text data, and applied sentiment analysis
techniques.
Cleaned and normalized review text using Python libraries.
Built polarity-based insights to understand user sentiment trends.
Created visualizations to showcase positive, negative, and neutral
feedback.
Google Play Store KPI Dashboard (Power BI)
Developed an interactive Power BI dashboard to monitor key
performance indicators (KPIs) for Google Play Store apps.
Visualized app installs, ratings, and sentiment KPIs.
Implemented interactive features like slicers and filters for dynamic
analysis.
Enabled stakeholders to quickly assess app performance and user
sentiment.
Amazon Dataset (SQL Data Modeling)
Designed an Entity-Relationship Diagram (ERD) and relational database
schema for an Amazon dataset.
Enforced data integrity using primary keys, foreign keys, and
constraints.
Structured data for efficient querying and analysis.
Prepared the dataset for analytical and reporting purposes.
Introduction to Computer Programming Capstone (Python)
Completed a capstone project involving 50+ applied programming
problems using Python.
Used if-else, for, and while loops for data processing and
automation.
Built classes/objects to model real-world entities.
Handled errors with try-except for stable execution.
Applied list/set comprehensions for efficient data transformation.
Solved real-world problems with automated scripts, enhancing
problem-solving skills.
Movie Data Web Scraping
Automated the collection of movie titles, genres, and ratings from web
sources using BeautifulSoup.
Extracted structured data from web pages for analysis.
Created a clean dataset for further visualization and insights.
Reduced manual data collection effort through automation.
Tableau Visualization Challenge
Built over 30 interactive dashboards using Tableau to showcase realworld
data insights.
Utilized Tableau features such as calculated fields, parameters,
filters, sets, and maps.
Designed dashboards for both exploratory and presentation
purposes.
Published multiple engaging dashboards on Tableau Public to
demonstrate expertise.
Related categories:
Python
Statistics
Machine Learning (ML)
Data Mining
Data Visualization
Data Analysis
Power BI
Sentiment Analysis