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CompetitionsEveryone Can Learn Data Scholarship

Competition

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Everyone Can Learn Data Scholarship

Everyone Can Learn Data Scholarship

The second 'Everyone Can Learn Data' Scholarship from DataCamp is now open for entries. The challenges test your coding skills you gained from beginner courses on either Python, R, or SQL. Pair them with the help of AI and your creative thinking skills and win $5,000 for your future data science studies! The scholarship is open to people who have completed or are completing their secondary education and are preparing to pursue a degree in computer science or data science. Students preparing for graduate-level computer science or data science degrees are also welcome to apply.

Prize

$5,000

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Your challenge

  • 🦕 Challenge 1: You're applying for a summer internship at the national museum of natural history. The museum recently created a database containing all dinosaur records of past field campaigns. Your job is to dive into the fossil records to find interesting insights, and advise the museum on the quality of the data.
  • 🎥 Challenge 2: You have just been hired by a large movie studio to perform data analysis. Your manager, an executive at the company, wants to make new movies that 'recapture the magic of old Hollywood.' So you've decided to look at the most successful films to help generate ideas that could turn into future successful films.

Prizes

1st

$5,000

$5,000 or a donation to a charitable cause of your choice

2nd

$1,000

$1,000 or a donation to a charitable cause of your choice

3rd

$1,000

$1,000 or a donation to a charitable cause of your choice

4th

$1,000

$1,000 or a donation to a charitable cause of your choice

5th

$1,000

$1,000 or a donation to a charitable cause of your choice

How to get started

Create your most insightful analysis using DataLab, our in-browser tool to write, run, and publish data analyses. Once you’ve finished your work, you’ll need to publish it for review.

1
Start your analysis using the Python or R templates
2
Create an insightful analysis
3
Publish your work for review
4
Share your publication to get upvoted

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.
  • Only votes made by accounts registered before voting opens will count towards final decisions.

Response quality (65%)

  • Accuracy (20%): The response must be representative of the original data and free from errors.
  • Clarity (15%): 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 (15%): The response must contain some insights based on the data using 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.
  • The report contains sufficient depth but is also concise.
  • How the response flows from one point to the next.

Presentation (15%)

  • The use of appropriate visuals.
  • How well-formatted the response is.
  • Spelling and grammar.

In the event of a tie break, user XP may be used to decide on a front-runner.

    Rules

    • To apply for the scholarship, you must submit your details via the scholarship application form and submit your response to this problem before the deadline.
    • All responses must be submitted in English.
    • Entrants must be 18+ years old.
    • Entrants must be enrolled in a secondary, tertiary, or graduate program.
    • Entrants must be allowed to take part in a skill-based competition from their country.
    • Entrants can not have earned or attained a post-secondary degree in computer science, data science, data analytics, or a related field of study.
    • Entrants can not be in a country currently sanctioned by the US government.
    • You can check the time left to submit on the counter at the top of this page.

    Note: We recommend that you complete the introductory courses to Python or R and Introduction to SQL on our website, as many of the skills and requirements in this competition are covered within.

    FAQs

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