Take home data challenge - samples

@kthouz wrote:

Hi all,

I am a fresh graduate and actively applying for data science positions. Since I have no professional experience yet, I would like to know if there is any public repo, blog or book where I can find guidance on how to prepare for take home data challenges. Apart from building predictive models (common challenges), I am interested in knowing:
1. What are other types of common challenges?
2. What are the main key points to include in a report. For instance, should I include all steps followed in data cleaning, all tried and failed prediction methods, ...?
3. What are the hints to prepare for these kind of challenges

I will also love to hear from anybody who has gone through this

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