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Data Science Projects
Build your portfolio with real-world projects
Learning Paths
Data Analyst
College Trends Analysis
Analyze how tuition costs and graduation rates have changed over time across different states or institution types. Use the data to create a dashboard showcasing trends and insights.
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Data Scientist
Predict Housing Prices
Build a machine learning model to predict housing prices based on property characteristics. Explore how features like location, size, and condition impact the price.
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Data Engineer
Build a Data Pipeline for Weather Data
Create an automated data pipeline to fetch weather data from the API, clean it to remove outliers, and load it into a database for analysis.
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Data Analyst
Fantasy Football Performance Optimizer
Use play-by-play data to build a tool that suggests the best players for a fantasy football lineup. Incorporate player efficiency stats, game conditions, and opponent analysis.
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Data Scientist
Tweet Sentiment Analysis
Use NLP techniques to analyze tweet sentiment. Preprocess text data to remove noise, tokenize words, and build a machine learning model to classify tweets.
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Data Engineer
Create a Data Lake for Amazon Reviews
Build a data lake to store raw reviews and transform them for analysis. Use Spark or Hadoop to process large datasets, extract insights on customer satisfaction.
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Data Scientist
Spotify Music Genre Prediction
Build a machine learning model to classify songs into genres based on audio features like tempo, energy, and danceability. Use the Spotify API to fetch real-world music data.
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Data Analyst
TikTok Trend Analysis
Analyze the popularity of TikTok videos by extracting metrics like views, shares, and likes. Identify trends in hashtags, music usage, and video duration over time.
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Data Engineer
Streaming X Tweets Data Pipeline
Stream tweets in real time, process them for keywords or sentiment, and store insights in a database. Visualize trends like popular hashtags or sentiment over time.
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Data Scientist
YouTube Recommendation Algorithm
Simulate YouTube's recommendation algorithm by analyzing user engagement metrics like watch time and likes/dislikes. Build a recommender system to suggest videos.
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Data Analyst
Fitness Tracker Data Insights
Analyze activity tracker data (e.g., steps, sleep, heart rate) to identify health trends. Create a dashboard to visualize daily, weekly, and monthly patterns.
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Data Engineer
Cloud-Based ETL Project
Design an ETL pipeline in a cloud environment to process and analyze taxi trip data. Identify patterns like peak ride times or fare trends.
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Data Scientist
COVID-19 Data Analysis
Visualize the global spread of COVID-19. Analyze regional differences in infection rates and predict trends using time-series forecasting techniques.
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Data Engineer
Log Monitoring Pipeline
Process server logs, detect patterns in traffic, and store data in Elasticsearch. Create dashboards in Kibana to monitor anomalies and performance metrics.
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Data Analyst
E-commerce Trends Analysis
Analyze review trends to identify factors influencing customer satisfaction. Visualize how ratings vary across product categories and detect common keywords.
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