The Ultimate Battle Ground of Data Scientists Data Science Competitions to Compete, Win, Practice, Learn And Build your Data Science Portfolio!

Compete in High Stakes Data Science Hackathons

Data science hackathons on DataHack enable you to compete with leading data scientists and machine learning experts in the world. This is your chance to work on real life data science problems, improve your skill set, learn from expert data science and machine learning professionals, and hack your way to the top of the hackathon leaderboard! You also stand a chance to win prizes and get a job at your dream data science company. Start your data science hackathon journey today!

Learn

Learn data science skills by working on real world problems

Get Data Science Jobs

Upskill yourself and get hired in the best data science companies

Build your Data Science Profile

Showcase your data science expertise and get hired in top firms

Win Prizes

Stand a chance to win lucrative prizes

Competitions and Events

Show your data science mettle by competing in various machine learning hackathons and stand a chance to win prizes, improve your current skills, and even win job opportunities with top companies. You can also RSVP to exclusive data science events by Analytics Vidhya where you can have a face to face interaction with leaders in the data science and machine learning community.

active

Data Science Blogathon - 20

ends in
DAYSHOURSMINS

Join 700+ authors and participate in the world's largest Data Science Blogathon!

490 0
active

HR Analytics

ends in
DAYSHOURSMINS

Can you predict which employee has a higher chance of getting promoted and help the help the organization to expedite the appraisal and promotion process?

16362 404
active

Predict Number of Upvotes

ends in
DAYSHOURSMINS

Help a StackOverflow like platform to identify the best question authors by predicting the upvote count of questions asked.

6023 90
active

Face Counting Challenge

ends in
DAYSHOURSMINS

Get started with your first computer vision challenge to count the number of faces in the image. Don’t panic!! if you are a complete beginner we will provide you the best resources to start your computer vision journey.

3934 29
active

Food Demand Forecasting

ends in
DAYSHOURSMINS

Help a food delivery business in forecasting the food demand for the upcoming weeks so that we can plan the stock of raw materials. A perfect challenge to test your time series knowledge.

13816 0
active

Identify the Sentiments

ends in
DAYSHOURSMINS

Are you a NLP expert? Different brands monitor their online conversations to measure the success of their product. Here is a challenge for you to predict the sentiments of tweet data of netizens.

8169 64
active

Joke Rating Prediction

ends in
DAYSHOURSMINS

Is this joke funny? Can you predict the crowdsourced rating of a joke using the just the joke text? Take this challenge to find out!

3885 0
active

Identify the apparels (Fashion MNIST)

ends in
DAYSHOURSMINS

Categorise the apparels into the correct categories (Shoe, Top, Dress etc.) using just the image of the apparel

7548 0

Why You Should Use DataHack for Data Science Competitions

Learn from the community -Knowledge and Learning How are they using Analytics Vidhya to learn about data science, sharpen their skills & take their careers to the next level?

Akash Gupta

Data Scientist at OLX Group

Right from college, I liked to participate in competitions and Analytics Vidhya helped me compete amongst the finest people. Now, even as I'm working as a full time data scientist, I still like to give it my best during these short yet intense competitions as it helps me think out of the box and get the best out of myself. I usually start with looking at the data and checking the distribution of features and target variables which involves a lot of group by commands. Once I settle for an initial feature set, I train a basic model to see where I am in the leaderboard. From there on it can go to completely revamping the model to use some new methodologies or tuning the model and features.

Kunal Chakraborty

Analyst at Goldman Sachs

Analytics Vidhya was, is and continues to be the most important source of my education.The hackathons are exciting, the discussions forum is becoming more and more active every day and the content on the website is excellent. No wonder it has grown so much in the last few years.

Sudalai RajKumar (SRK)

Data Scientist at H2O.ai

AV is one of the best knowledge portal for Data Science I know about and certainly the best in India. It caters to the need of all sorts of people, from beginners to well experienced professionals. The articles are in-depth in nature and cover wide-variety as well which is very difficult to find else where. Discuss portals help people to clarify their doubts while hackathons give a flavor of real world experience. Thank you AV and keep up the good work.!

Aanish Singla

Sr.Delivery Manager,Nagarro Software

Analytics Vidhya hackathons are an excellent opportunity for anyone who is keen on improving and testing their data science skills. The portal offers a wide variety of state of the art problems like – image classification, customer churn, prediction, optimization, click prediction, NLP and many more. I have participated in many hackathons and they have been a significant contributor in improving my machine learning skills. These hackathons have real time submission and evaluation feature and you can always feel the competition heat on the leader-board. Hackathons also provide an immense opportunity for learning from other’s, as winner’s approach and code is shared at the end of the hackathon. I won the Barcelona water demand prediction hackathon and it boosted my confidence and network significantly.

Balaji SR

Kaggle Competition Expert

I learnt a lot by participating in various Hackathons conducted by Analytics Vidhya during last three years. One obvious benefit is given a dataset I can intuitively understand what works best which I apply in real life problems efficiently. My strategy in any Hackathon is to understand the dataset, feature engineering and cross validation. I try ensembling, hyper parameter tuning or stacking only if I have time. I believe feature engineering and cross validation is more important than your choice of algorithms.

Shuvayan

Senior Analyst-Data Science,Infosys

I started my journey in analytics in August 2014 through an online course. Then came AV which gave a newbie like me a platform when my first article was published.Thereafter the association with AV has grown to AV being my guide and mentor. There is no dearth of analytics resources on the web but when you get it from experts in the Indian analytics space with a clear business problem in mind-there is nothing like it.The easy to understand language used to explain the most complex of subjects in data science is one of the cornerstones of the AV blog.The one place I know I will find answers to my questions and gain knowledge is AV. In the language of Data Science AV is an ensemble of many experts which bring out what is best for the community. :)

Support

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.