
HackerRank
LeetCode
Codility
CodeSignal
iMocha
HackerEarth
Codewars
Coderbyte
DataQuest Beta
Jovian
Gyana
Towardsdatascience
data.world
Amie
The Art of Data Science
Deepnote
HackerRank
DataQuest BetaHackerRank is recommended for students, individual learners, and job seekers looking to improve their coding skills, as well as for companies seeking an efficient way to evaluate candidates' technical abilities during the hiring process.
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Based on our record, HackerRank should be more popular than DataQuest Beta. It has been mentiond 67 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This way, you transfer what you already know (problem-solving) but only change the syntax. Platforms like Hackerrank are also great to solve the same problem in different languages and learn from other peopleโs solutions. - Source: dev.to / 11 months ago
Firstly, solve some common data structure problems with it. Implement some data structures like arrays, linked lists, stacks, queues, etc. You can check common problems on LeetCode, Hackerank or some other resources. - Source: dev.to / about 2 years ago
I don't have a consecutive internet connection and I can't keep up learning process so I started practicing in hackerrank.com I have started some challenges in python and c++ there. Thus I have no internet connection so I cannot practice if anyone know any alternative that works like Working: Gives a challange User sumbits code and it test into testcases. Source: over 2 years ago
An effective way to improve your JavaScript skills is working through coding challenges and exercises. Sites like ReviewNPrep, FreeCodeCamp, and HackerRank have tons of challenges that allow you to practice JavaScript concepts by building mini-projects and solving problems. These hands-on challenges force you to apply what you learn. Source: over 2 years ago
I'm 18M Indian. Growing up I've always been a daydreamer, if you may. Since 8th grade - I'm fascinated by programming. And I'm good at it too. But I'm not cocky too. I wouldn't say I'm at an advanced level, but I can most probably solve any problem - in time - with my skills. I also keep my skills brushed by solving problems on Hacker Rank (every day or alternate days) and try my best to contribute on... Source: almost 3 years ago
Have you consider dataquest.io ? I m thinking on subscribing there, the learning path since well balanced between theorical and practical knowledge, plus there are some pet projects initiaves. Source: over 3 years ago
I did a lot of planning, reporting and optimizations based on data when I was in digital media, so I've been applying to data focused roles. In my free time, I've also been learning Data Science via dataquest.io, hoping to take my analysis to the next level, learn new skill sets, and keep coding. Source: over 3 years ago
I recommend dataquest.io. It's an intuitive way to learn the fundamentals if you'd rather not study in a more formal manner. Source: over 3 years ago
Does it need to be a postgrad degree? If you want more hands on you might be better using Dataquest. Source: about 4 years ago
I am using Dataquest to learn Python for Data Science there. I also got a book from O'Riley called Data Science Handbook and the Automating the Boring Stuff with Python book. SQL is good to know and comes in handy. Source: about 4 years ago
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Jovian - Learn Data Science and ML with free hands-on online courses
Codility - Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.
Gyana - Intuitive easy-to-use report and dashboard tool to stop wasting time on repetitive and tedious tasks.
CodeSignal - CodeSignal is the leading assessment platform for technical hiring.
Towardsdatascience - Towardsdatascience is one of the fastest-growing web-based platforms that allow you to exchange ideas, concepts, and codes to understand data science.