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.

Using a provided dataset, complete a full machine learning project.

Tasks

  1. Choose an appropriate machine learning model for the dataset.
  2. Split data into training and testing sets.
  3. Train the model using Scikit-Learn.
  4. Evaluate performance using appropriate metrics.
  5. Present findings and recommendations in a written summary.

Submission

Analyze a retail sales dataset and create visualizations that communicate key business insights.

Tasks

Provide written insights explaining:

Submission

You have been provided a CSV file containing student exam scores.

Tasks

  1. Load the dataset using Pandas.
  2. Display the first 10 rows.
  3. Calculate average scores.
  4. Identify the highest-performing student.
  5. Write a short summary of your findings.

Submission

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.

Develop a storyboard that uses storytelling to enhance user engagement for a brand.

Prepare a report analyzing a brand’s strategy and UX impact with metric suggestions.

Map out the customer journey for a brand integrating key UX touchpoints.

Choose a brand and evaluate its user experience across touchpoints.

Create a brand purpose, mission, and value statement for a hypothetical or real brand.