Skill Test: Python for Data Science
About the Event
Introduction and Context
Python is the most widely used programming language in the Data Science community. Most of the Data Science libraries are accessible via python.
Having the deep knowledge of python is a must to excel the Data Science journey.
Hence, Analytics Vidhya brings you the most exciting contest for all the Data Science aspirants to showcase their python skills-
Skill Test - Python for Data Science
This skill test evaluates how much you have grasped Python in a practical manner. The questions emphasize on the programming, basic built in data structures, libraries and so on which are used to perform a specific task in data science using Python.
The topics covered in the skill test :
- Programming
- Data Structures
- List
- Tuple
- Dictionary
- Set
- Numpy Array
- String
- Pandas
- Lambda functions
- Map, Reduce and Filter
- Conditional Statements and Looping
You can learn more about python in one of the free courses from Analytics Vidhya here.
About Skill Test
- The skill test contains 20 Multiple Choice Questions.
- The questions spread across 3 difficulty levels - Easy, Medium, Advanced
- Each question lasts for 60 seconds only.
- Each Skipped question will be marked incorrect.
- There is no negative marking for any wrong answer.
- There is only one option correct for each question.
Rules and Conditions
- Throughout the Skill Test, you are expected to respect fellow participants and act with high integrity.
- The use of multiple Login IDs will lead to immediate disqualification.
- Analytics Vidhya holds the right to disqualify any participant at any stage of the competition if the participant(s) are deemed to be acting fraudulently.
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Frequently Asked Questions
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Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.
Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.
There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.
In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.
Depending on the type of competition, you can participate individually or in a team.
Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.
AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.
You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.
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