Here are some real-world projects to practice data analysis using Python, Tableau, and MySQL:
1. Sales and Revenue Analysis
- Dataset: Sales transactions from an e-commerce store or retail business.
- Skills Used: Data cleaning (Python, Pandas), SQL queries (MySQL), and visualization (Tableau).
- Tasks:
- Load sales data into MySQL.
- Analyze customer purchasing behavior.
- Find top-selling products and seasonal trends.
- Create a Tableau dashboard for sales insights.
2. Customer Churn Prediction
- Dataset: Customer subscription data from a telecom or SaaS company.
- Skills Used: Python (Pandas, Matplotlib, Seaborn, Scikit-learn), MySQL, Tableau.
- Tasks:
- Perform exploratory data analysis (EDA) using SQL and Python.
- Identify key factors leading to customer churn.
- Build a predictive model using Python.
- Visualize churn trends in Tableau.
3. Stock Market Data Analysis
- Dataset: Historical stock prices (Yahoo Finance API or Kaggle).
- Skills Used: Python (Pandas, Matplotlib, Seaborn), MySQL, Tableau.
- Tasks:
- Store stock price data in MySQL.
- Perform technical analysis (moving averages, RSI).
- Predict trends using time series forecasting.
- Create a Tableau dashboard for real-time stock tracking.
4. Airbnb Data Exploration
- Dataset: Airbnb listings data (available on Kaggle).
- Skills Used: SQL for data extraction, Python for analysis, Tableau for visualization.
- Tasks:
- Analyze price variations by location, property type, and season.
- Identify factors affecting high-rated listings.
- Build an interactive Tableau dashboard for insights.
5. Healthcare Data Analysis
- Dataset: Hospital patient records, disease cases, or public health datasets (CDC, WHO).
- Skills Used: SQL for querying data, Python for EDA, Tableau for visualizations.
- Tasks:
- Analyze patient demographics and disease trends.
- Identify correlations between diseases and lifestyle factors.
- Create an interactive Tableau dashboard for reporting.
Would you like help finding datasets or guidance on any specific project? 🚀
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