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StrataScratch
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Cram
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Students who need to memorize information quickly, individuals preparing for exams, language learners, and anyone who prefers interactive learning methods through digital flashcards.
Based on our record, Cram should be more popular than StrataScratch. It has been mentiond 12 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 is what I did....lots of flash cards. I used cram.com, but most sites work. I strongly suggest making your own, though. Don't put everything on them, just put the things you're struggling with. It's way more efficient to just work on the areas you don't know than to spend ages reviewing facts you already know. Source: about 3 years ago
I used Cantrill's course, TutorialDojo's practice exams, and cram.com for flash cards. I used the practice exams to help me identify where I was weak, and I'd go back and study those topics in more depth. Also, whenever I got a practice question wrong (or right only out of luck), I made up flash cards with whatever bits of information I was missing that would have helped me *know* what the right answer was. ... Source: over 3 years ago
Use flashcards. I used cram.com and made a bunch of cards to memorise stats, dates and quotes. Source: almost 4 years ago
I don't use Anki but I used to make my own flash cards when I first started using cram.com lol. Source: about 4 years ago
I made a set of flash cards at cram.com. These are from 2017 though, so I'm not sure if they're still applicable or if the test covers significantly different material now. Source: about 4 years ago
StrataScratch is focused on providing data analysis/science resources needed to land a job and resources for the first few years of your career. It has 600+ coding questions from real interviews where you can use SQL, python, or R. It has 500+ questions about ML theory, product sense, probability, statistics, also from real interviews. There are data projects that come from take home assignments companies give... Source: about 3 years ago
I learned off of Mode Analytics SQL tutorial. It's free and I use it as a reference when I forget syntax. From there, my learning style is to grind on practical questions that I would get as a data analyst. So I would recommend stratascratch because all their questions are from real data science interviews which not only test for syntax but edge cases and business logic. Other platforms basically only test for... Source: about 3 years ago
There was a comment here about using Leetcode, Hackerrank, SQL fiddle, etc to keep learning SQL. However, if you're aim is to go into data analytics you need to go beyond learning syntax and understand edge cases and business context. You should grind on some data analytics/data science focused platforms like stratascratch and interviewquery. They have hundreds of questions with many free ones for your to practice. Source: about 3 years ago
If you want some practice interview questions, check out DataLemur and/or StrataScratch. They helped me immensely in preparing for technical interviews. Source: about 3 years ago
Anki - Anki is a program which makes remembering things easy. Because it's a lot more efficient than traditional study methods, you can either greatly decrease your time spent studying, or greatly increase the amount you learn.
LeetCode - Practice and level up your development skills and prepare for technical interviews.
Quizlet - Quizlet allows you to review and create flashcards for a variety of subjects, such as math and reading.
DataLemur - Practice SQL Interview Questions & Data Science Interview Questions asked by FAANG.
Brainscape - Find, create, and study SMART FLASHCARDS on any device. DOUBLE your learning speed using the most effective study system on the planet. Keep all your content in sync across Brainscape's website and your Android devices.
Datacamp - DataCamp is a massive open online course (MooC) platform that helps everyone from novices to experts hone their skills with data science.