Data science is an emerging field which not only involves a lot of learning but also needs practice time-to-time.

Hackathons offer just that!

They are power-packed, high-energy events that make them ideal for data science enthusiasts to practice and get acquainted with new-age technologies.

What are Hackathons?

The word hackathon is derived from the word ‘marathon’ which signifies a long period of activity, in a short period of time, for the desired result.

You typically spend 1-2 days, building, creating and delivering a challenge. The whole idea is to code together in an extreme manner, to start from scratch and end with a working prototype.

It’s often a sort of competition, where teams of programmers, developers, designers and project managers come together to design and build a working software. Once the tasks are announced, the participants of the hackathon are united into teams.

Sometimes a team may consist of just one person who is able to perform all the work independently. The optimal team members amount is 4 people, namely a front-end, a backend, a Data Scientist as well as a businessman. Participating in hackathons have a lot of benefits.

Why are Hackathons Important in Data Science?

Meet Like-minded People:

Hackathons are an excellent way which brings creative minds from very different backgrounds together to work on complex data analysis and coding problems. In a very short time, a wide range of solutions and proposals are produced, which broadens the horizons of all participants.

They are also a great way to get involved in the Data Science community and meet like-minded people. It’s an excellent opportunity to get to know others that have the same interests as you and that are pursuing the same technologies.

Build Your Knowledge & Skills:

Data Science is vast and made up of three main fields: Computer Science, Statistics and Business Intelligence. Not everyone has a FULL understanding of all these fields.

Participating in hackathons will improve your knowledge and your skills in many aspects. It will help you to face the real world/practical situations and challenges. It will help you to grow as a Data Scientist.

It is also a good opportunity to test your data science skills that you have learned over time. It is a great chance to practice the skills you have acquired. The more you participate, the more your Data science skills will be nourished.

Participation in such hackathons and competitions will make you more curious about learning new approaches to solve a given problem.

It's also a great opportunity to use your domain knowledge and showcase your talent.

Acquire Soft Skills:

Participating in hackathons not only imrpoves your knowledge in a given field, but also allows you to grow skills that are relevant in the corporate world.

You learn soft skills like teamwork, leadership and communication skills. You very often create strong bonds, learn from other’s strengths and learn how to work with a team.

It’s also a great addition to your CV, if you’re looking for your a job in data science.

Get New Ideas:

Whenever people are exposed to a new environment, different from their usual, they tend to get more and more innovative ideas.

A problem-solving environment, like a hackathon, encourages the development of new ideas. You never know what incident might spark a completely new and innovative idea in your head, in the field of Data Science!

Hackathons are a great way to gauge yourself and the level of knowledge that you have in a field. They are also a great way to improve & grow yourself exponentially.

Well, the other way is to study data science online and then find relevant openings in the market.

Board Infinity's Data Science Learning Path equips you with all the latest technologies in Data Science like R, SQL, Hadoop, etc and lets you work on real-time projects.

You learn from top industry experts in the Data Science sector. It also gives you a chance to interact with top industry experts in Data Science and offers placements.

You are also exposed to many hackathons during the course which will allow you to grow exponentially!

Click here to check out the Data Science Learning Path: