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Practice Problem : Strategic Thinking

About the Event

Strategy has never been more challenging, or more important, than in today’s environment of global competition.

Thinking strategically’ has now become a necessity if you want a successful career in analytics.

We will be providing you with case studies on MCQ.

Data Science Resources

  • You can refer our learning path to learn more about the tools and technologies required to solve Data science problems. You can find ithere.

Rules

  • The question are MCQ types. There are 57 questions in the mini hack. Each question carries equal marks. The time allotted is 180 minutes.

  • There is no negative marking for any wrong answer.

  • There is only one option correct for each question.

  • Once an answer is submitted for a question, the participant is not allowed to visit the question again.

  • There are 2 case studies in the hack. Once the participant exits from one case study, it will be submitted along with the given answers. The participant is not allowed to visit the submitted case study again.

  • In case of multiple participants getting equal aggregate marks, the one taking the least time to complete the hack will be the winner.

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Registration Details

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Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Frequently Asked Questions

Find the answers for the most frequently asked questions

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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