Everyone Can Learn Python Scholarship

Background

The first DataCamp Everyone Can Learn Python Scholarship Award Program is now open for entries. The problem below tests the Python and SQL skills that you gained from the Introduction to Python and Introduction to SQL, and pairs them with your existing problem solving and creative thinking skills.

 

Deadline

Submission deadline: 00:00 GMT, 31 March 2023

 

How to Apply

• Submit your information via the scholarship application form.
• Sign up to DataCamp in order to see the scholarship submission page.
• Submit your scholarship application on the scholarship submission page. Scholarship applications take the form of a workspace publication. Make sure the scholarship application is publicly visible in order to be entered for consideration.
• You must complete all 3 of the items above, before the scholarship deadline, in order for your application to be valid.
• The background information is that you volunteer for a public policy advocacy organization in Canada, and your colleague has asked you to help her draft recommendations for guidelines on CO2 emissions rules. After researching emissions data for a wide range of Canadian vehicles, she would like you to investigate which vehicles produce lower emissions. Applicable data is provided on the scholarship application.
• All applications must be submitted in English.

 

Award

1. One first place Scholarship award recipient will receive $5,000
2. Five runner Scholarship award recipients up will receive $1,000 each

Judging criteria

 

Public upvotes

The top 100 entries will be judged according to the criteria below.

Entries in position 101 or below will not proceed to the next stage.

 

Response quality (65%)

 

• Accuracy (20%): The response must be representative of the original data and free from errors.
• Clarity (20%): The response must be easy to understand and clearly expressed.
• Completeness (15%): The response must be a full report that responds to the question posed.
• Insights (10%): The response must contain some insights based on the data based on your own judgment and interpretation.

 

Storytelling (20%)

 

• How well the response is connected to the original data.
• How the narrative and whole response connects together.
• Balancing with making the response in-depth but also concise.
• How the response flows from one point to the next.

 

Presentation (15%)

 

Repayment status and permission for other scholarships are not specified. For further information, please contact the institution. Click the link for detailed information.