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Webinar: How To Crack Data Science Hackathons
Webinar: How To Crack Data Science Hackathons

Webinar: How To Crack Data Science Hackathons

Published Updated

Key takeaways

  • Hackathons are vital for data scientists to enhance skills and solve real-world business problems.
  • They serve as a significant recruitment tool for companies seeking talent in data science.
  • Navigating hackathons can be challenging for newcomers, particularly in team formation and project selection.
  • A webinar will address common challenges and best practices for succeeding in data science hackathons.
  • Expert guidance will focus on problem-solving approaches and effective resource utilisation.
5 min

Hackathons have evolved to be one of the key ways for data scientists to learn new skills, practically apply their skills, get a hands-on solving business-centric problem, build a community, and more. Not just a way for boosting the skills, hackathons have also become one of the crucial tools for companies to hire candidates for internships and even full-time employment. 

Addressing the growing popularity of hackathons, there are several hackathon platforms available today for data science enthusiasts to compete on. While there are many resources available, it can be overwhelming for candidates, especially newcomers to fit right into hackathons. There can be challenges such as finding the right project to work according to the skills to even becoming a part of the team. 

To address some of the commonly faced challenges that participants face such as the kind of coding skills required, picking the right platform, approaching the problem-statement, and more, Analytics India Magazine in association with MachineHack will be conducting a webinar on ‘How to crack data science hackathons’. 

It will be conducted by Devrup Banerjee, PGDM, Great Lakes. He is also a GrandMaster at the Machinehack platform. Banerjee will take the participants through the nuances of cracking data science hackathons. He will take through pointers such as: 

  • Best practises to follow while participating in a data science hackathon
  • How to approach a problem-statement
  • How to best utilise the resources and knowledge you have to crack the hackathon
  • How to pick the right hackathon platform to compete
  • Q&A with the participants

Details of the webinar

Speaker: Devrup Banerjee, PGDM, Great Lakes, Machinehack GM

Timing: 3rd October, 11:00 AM

Duration: 1.5 hours including Q&A

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