Analyze a Public Dataset
Download the Titanic or Iris dataset from a public source. Clean the data (handle missing values and data types), then create 3 visualizations: a bar chart, a histogram, and a scatter plot. Write a short 200-word summary of your key findings. Submit your Jupyter Notebook (.ipynb) file.
Student Dataset Analysis
You have been provided a CSV file containing student exam scores.
Tasks
- Load the dataset using Pandas.
- Display the first 10 rows.
- Calculate average scores.
- Identify the highest-performing student.
- Write a short summary of your findings.
Submission
- Python Notebook (.ipynb)
- PDF Report
Sales Dashboard Project
Analyze a retail sales dataset and create visualizations that communicate key business insights.
Tasks
- Create one bar chart showing category performance
- Create one line chart showing sales over time
- Create one histogram showing value distribution
Provide written insights explaining:
- Sales trends
- Top-performing categories
- Seasonal patterns
Submission
- Jupyter Notebook
- PDF Export
- Charts as PNG files
Predictive Analytics Mini Project
Using a provided dataset, complete a full machine learning project.
Tasks
- Choose an appropriate machine learning model for the dataset.
- Split data into training and testing sets.
- Train the model using Scikit-Learn.
- Evaluate performance using appropriate metrics.
- Present findings and recommendations in a written summary.
Submission
- Jupyter Notebook
- PDF Report
- Model Evaluation Summary (accuracy, RMSE, or F1 score as appropriate)
Build Your First Portfolio Page
Create a personal portfolio page using HTML & CSS. It must include at least 3 sections: About Me, Projects, and Contact. Use at least one Google Font, apply a color scheme using CSS variables, and make sure the layout uses Flexbox. Submit your HTML and CSS files as a ZIP.