JASP
jamovi
Statista
Montecarlito
datarobot
IBM ILOG CPLEX Optimization Studio
BlueSky Statistics
Displayr
Free Code Camp
Codecademy
The Odin Project
edX
Coursera
Treehouse
Khan Academy
Pluralsight
Free Code CampJASP works very similarly to jamovi. That's not a coincidence, as some JASP developers split off to create jamovi. You can open a single dataset and use the most popular statistics and machine learning methods. But if you have multiple datasets to merge, you must do that in another tool. Also, the dataset must maintain a single structure throughout your analyses. Restructuring or transposing is not allowed. It is commonly said that data scientists spend 80% of their time wrangling data like that, so that's a significant limitation for general use. However, those simplifications make JASP a good choice for teaching. Another advantage for teaching is that the menus are very sparse, but you can add to them easily by downloading additional modules. That's the opposite of similar software such as BlueSky Statistics, SPSS, or Minitab, which install all features at once. If you're looking for free and open-source software, JASP and jamovi are best for teaching while BlueSky Statistics is best for general-purpose analysis.
freeCodeCamp grants certificates to candidates after they finishing a topic/chapter which can enrich your portfolio However, if you are looking/preparing for jobs, leetcode is better
Based on our record, Free Code Camp seems to be a lot more popular than JASP. While we know about 577 links to Free Code Camp, we've tracked only 15 mentions of JASP. 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.
For anyone looking for a quick and hands-on dive into the world of Bayesian modelling and inference, I can't recommend JASP enough, made freely available by the University of Amsterdam[0]. I've recommended it before, and it's just a breeze to work with, seeing frequentist and Bayesian analyses side-by-side. [0]: https://jasp-stats.org/. - Source: Hacker News / over 1 year ago
Anyone looking to apply and compare frequentist and bayesian methods within a unified GUI (which is essentially an elegant wrapper to R and selected/custom statistical packages), should check out JASP developed by the University of Amsterdam [0]. It's free to use, and the graphs + captions generated on each step are of publication quality out of the box. Using it truly feels like a 'fresh way' to do... - Source: Hacker News / almost 3 years ago
Https://jasp-stats.org fully free. Its advisible to learn python, R or matlab for graduate school. Source: about 3 years ago
Also for alternative software that are much easier to use take a look at JASP or jamovi (both are very similar); and as a bonus, neither of these two will require you to manually add product variables to your dataset. Source: about 3 years ago
If you have no access to SPSS (or SAS, or JMP), then look into JASP (https://jasp-stats.org/). I've only just touched that. One thing I believe is that JASP (as well as JMP) will allow/block off tests and analyses depending on the nature of each column. This means that, for example, if you have groups A, ..., Z, the software will treat those as non-numbers, which can only be used as inputs for variables which... Source: over 3 years ago
FreeCodeCamp Freecodecamp.org Free coding tutorials, including responsive design and JavaScript. - Source: dev.to / over 1 year ago
Freecodecamp provides 10+ free web development courses in JavaScript, Python, front-end, and back-end that are more than enough to kickstart any developer's career. You learn through interactive coding exercises and articles, and can participate in forum discussions when you get stuck or need help. - Source: dev.to / over 2 years ago
Don't do bootcamp. Start with something like https://freecodecamp.org and take a few lessons. Try to build something from that and see how motivated you are. If you see some progress and this thing still excites you, then may be find an engineer (a friend/co worker etc) who can guide you a bit as you continue to build something. Start small and stay away from bootcamps (my 2 cents). - Source: Hacker News / over 2 years ago
Self-learning after hours to code: freecodecamp.org. Source: almost 3 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: almost 3 years ago
jamovi - jamovi is a free and open statistical platform which is intuitive to use, and can provide the...
Codecademy - Learn the technical skills you need for the job you want. As leaders in online education and learning to code, we’ve taught over 45 million people using a tested curriculum and an interactive learning environment.
Statista - The Statistics Portal for Market Data, Market Research and Market Studies
The Odin Project - How it works. This is the website we wish we had when we were learning on our own. We scour the internet looking for only the best resources to supplement your learning and present them in a logical order.
Montecarlito - MonteCarlito is a free Excel-add-in to do Monte-Carlo-simulations.
edX - Best Courses. Top Institutions. Learn anytime, anywhere.