Everyone Can Learn Python Scholarship by DataCamp

Competition Scholarship in Computer Science
  • Online, Online
  • Apply Before : March 31, 2023

Opportunity Details

  • Opportunity ID 207224
  • Degree Non Degree Program/Certificate
  • No. of Opportunity 6
  • Fields of study Computer Science
  • Opportunity Type : Partially Funded
  • Gender MaleFemale
  • Language of Instruction English
  • Application Fee Required No

Opportunity Description

DataCamp entry for the Everyone Can Learn Python Scholarship is now open to international candidates. This Python online course is a chance for recipients to use their new skills to win $5,000 and support further learning. Also, applicants can buy equipment and software or fund their educational projects. Moreover, five runners-up Scholarship award recipients will receive $1,000 each.

Why Learn Python?

Learning Python is essential for programmers as one of the fastest-growing programming languages worldwide. Python’s easy-to-follow system, pre-programmed syntax, and readability have made it a favourite for programmers and data scientists. Learners, including beginners with no prior coding experience, can quickly learn Python due to its simple and intuitive syntax. As a result, they can master it much faster than other programming languages and get a potential career in data science, machine learning, data analysis, or digital marketing.

Brief Details

Application Deadline: 31 March 2023

Result Announcement: 01 May 2023

Host Organization: DataCamp Inc.

Duration: N/A

Location: Online

Degree Level: None

Gender: Male/Female

Medium of Instruction: English

Number of Awards: 6

Eligible Country: All

Field of Study: Computer Science, Python

Benefits of the Everyone Can Learn Python Scholarship Award

Six successful entrants can receive the DataCamp’s Python Scholarship Award as follows:

  • One first position holder will receive USD 5,000
  • Five runners-up will receive USD 1,000 each

Eligibility Criteria

All entrants should meet the following requirements to apply for the Everyone Can Learn Python Scholarship Award:

  • Entrants must be 18 years old;
  • Currently enrolled in secondary school, post-secondary school, or a postgraduate degree program;
  • Must not have a post-secondary degree in computer science, data analytics, data science, or a similar field of study;
  • Submit unique and original entries solely for the Scholarship;
  • Entrants must create a DataCamp account to access the competition.

Note: The application questions rely on topics included in Introduction to Python and Introduction to SQL courses on DataCamp.com. Therefore, applicants must complete both of these courses, available for free, before applying for the Scholarship.

Judging criteria

The judges will evaluate the top 100 entries based on the following criterion. They will not process entries in position 101 or low to the next stage:

  1. Response quality (65%)
  • Accuracy (20%): The entrant’s answers demonstrate the original data and are free of errors.
  • Clarity (20%): The answers should be clear and easy to understand.
  • Completeness (15%): The response should be a full report that responds to the question posed.
  • Insights (10%): The answers must contain some data-based insides.
  1. Storytelling (20%)
  • The strong connection of the response to the original data.
  • The strong relationship between the narrative and the honest answer.
  • Balancing of in-depth and concise answers.
  • Flows of the solutions from one point to the next.
  1. Presentation (15%)

How to Apply for the Everyone Can Learn Python Scholarship?

All entrants should submit a complete application package by following the instructions below:

  • Submit all required personal information via the scholarship application form.
  • Log in or register for DataCamp through the unique DataCamp account.
  • Go to the scholarship submissions page and submit entry before the deadline.
  • All applications must be in English.



Apply Now




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For further information about the Everyone Can Learn Python Scholarship, please visit DataCamps’ official website or read the Terms and Conditions.


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