Data Analysis Applications Assignment 1
Instructions
This assignment challenges you to engage directly with data analysis using Python in Google Colab, leveraging Gemini to guide their coding attempts. The objective is to apply theoretical concepts from the course to a realworld dataset, recognizing the challenges and limitations of big data analytics when executed without formal programming training. The emphasis is not on obtaining perfectly correct results but on engaging with the data, reflecting on the process, and critically analyzing Al-assisted programming.
The Assignment
Using the dataset provided in the Allianz case, answer the following questions:
1. What is the business problem in the case and how is this problem transformed into a machine learning problem?
2. Who are the T&B customers? Describe the most important characteristics of the the customers and their outstanding policies.
3. Compare T&B customers to the online visitors that did not convert into purchasing customers. Can you identify the main drivers of customer conversion?
4. In your attempt at analysis, what worked and what didn't? How did the Al-augmented system add value or create challenges?
Answer these questions in 800-1,000 words written in the style. of a blog or LinkedIn post. You must include a link to your Google Colab notebook in your report.
Submitting the Assignment
Create a new thread under the discussion topic Data Analysis Applications Assignment 1, available under Brightspace under "Discussions". Post your 800-1,000 word response as a thread. Once your thread is posted, you will be able to view and comment other student's submissions. You must make a meaningful comment on at least one other submission.