Data science test | Beta testing

Aspiring Minds is ready to roll out the first version of its simulated Data Science test. The test, ~60 minutes, has 4-5 problems for which the person has to write the code in Python/R. The code can be compiled and tested within the test. The test will help data science enthusiasts to evaluate themselves and companies to easily identify good data scientists.
This is an addition to our current machine learning based assessment of programming, spoken english skills and motor skills among others. Have a quick peek at research.aspiringminds.com
We are looking for enthusiastic beta-testers, experienced in data science (>2 years), from the industry as well as academia (Ph.D./Master students preferred), who are well versed in machine learning programming in Python and/or R languages. This will greatly help us build a good product which is very useful for the community.
For this, you will take a 60-minute test and then share your feedback in a 10-minute form on question quality, comprehensiveness and platform.
If you are a data science enthusiast, you'll definitely have fun experiencing the test. We are sure you will also have some learning about data science.
We have exciting rewards up for grabs for our beta testers, as a token of appreciation.
Think you'd like to be a part of this enriching experience?
Apply here!
Additional information and guidelines:
The questions in this test module are designed to assess the data science acumen of the candidate. The results of these assessments will then be used as job credentials by a large pool of big corporates! Your work would involve solving 4-5 data science questions comprising MCQs and programming problems, within a span of 10 days. During this period, we'd like you to be committed to the assignment and provide an extensive feedback about the various aspects of the test module. The questions from the feedback form will also be made visible to you before you start the test so that you have in your mind, the kind of feedback you need to provide before you start testing. You can then write your responses to the questions after you finish the test.