I know people asks a lot about code learning platforms but I haven't found a good answer yet.
I'm a biologist and I want to learn coding mainly for data science and data analysis (ideally from basic stuff like graph making and statistics all the way up to transcriptomics); I would like to learn both R and Python.
So far by checking several posts and reviews, I have made a shortlist of platforms that seem to be good according to the community but I can't decide on which one to spend my money on (ofc ideally I don't want to pay more than one!). So if you were to choose among these platforms, which one would pick?
-Datacamp
-Codeacademy
-Dataquest
-Udemy
-Or should I just go free with Freecodecamp?
I know there won't be an ultimate answer but I want to gather more information before committing to a platform. Please let me know your opinions and experiences! Strong opinions are specially welcome!

Beginner tech in every aspect hoping to break into health tech. I want to add some SQL experience to my resume. What's the best way to start, do you recommend courses to take or any affordable certifications to begin with? There are so many out there and would love some opinion on what has worked best for you! Also, I know this will not get me a job, I'm hoping to gain some foundation and use that knowledge to create portfolios etc.

Hello all,

I am a beginner with only minor SQL experience querying/writing constraints. I am currently looking into spending my summer learning SQL and Python.

I am looking at two options, either purchase courses through Udemy or subscribe to Datacamp to the tune of $29/mo. I have already started a SQL course on Datacamp via a recent free trial period and I really enjoyed the fun, active learning style offered that dove you straight into the topics. However, I am also looking at some cheaper udemy courses such as this complete SQL bootcamp for beginners. The Udemy courses seem to be more popular and reputable around here, and I like how I can always come back to it later for review.

The problem with Udemy is that it seems like many of the courses, particularly the one linked above, offer a lot of passive learning with lectures but only a few projects here and there. Personally, I feel like datacamp's frequent exercises that have you constantly programming are better for me...

Therefore I am looking for some opinions and feedback on udemy's learning experience and opportunities for practice... Thank you all for your help!

Anyone used these resources and feel that one might be best?

I have no prior programming experience, trying to teach myself at least some R before starting a clinical psychology PhD program in a few months (where I will be using R for research, data analysis, etc.). I very strongly prefer online tutorials to reading textbooks.

Here are the resources I'm looking at:

1. Data Camp: https://www.datacamp.com/courses/free-introduction-to-r

2. Udemy: https://www.udemy.com/course/r-programming/

3. Coursera: https://www.coursera.org/specializations/data-science-foundations-r

Or if you think there's a better online source for learning, I'm open to that as well.

Hello to everyone reading!!!

My name is Andrew I am 19 years old student.

Considering to start learning code and now I am picking the platform to start and stick with it at least a month to learn the basics of the basics.

Googled many websites like Udemy/Youtube/DataCamp/CodeAcademy/Brilliant

Udemy - Offer various videos and courses about many topics and good quality, but you do not have an option to interact with the code at the real time. I am writing down all I learned and then use PyCharm

YouTube - The same as Udemy, but in my opinion offer more basics quality video but its free.

DataCamp - I tried the free version of it. Until now it was an entertaining experience, But the trial ended and now it's 25bucks a month. Its offer a real time practice about what you learn and have good UX.

CodeAcademy - Used the paid option in the past. Lasted for a month(I think it's a problem in me and not the website). Plenty courses and topics to learn. Giving a good practice about what you learn even sometimes I googled things.

Brilliant - The best UX experience until now. But it's more about logical thinkings and less really coding. Should I consider it like secondary source?? (And that coming with paid subscription)?

WHAT TO PICK??? (OR I AM TOO MUCH TRYHARD ABOUT IT?)

Thanks to everyone helping me out!!!!!!

I know people ask a lot about code learning platforms but I haven't found a good answer yet.

I'm a biologist and I want to learn coding mainly for data science and data analysis (ideally from basic stuff like graph making and statistics, all the way up to transcriptomics); I would like to learn both R and Python.

So far by checking several posts and reviews, I have made a shortlist of platforms that seem to be good according to the community but I can't decide on which one to spend my money on (ofc ideally I don't want to pay more than one!). So if you were to choose among these platforms, which one would pick?

• Datacamp

• Codeacademy

• Dataquest

• Udemy

• Or should I just go free with Freecodecamp?

I know there won't be an ultimate answer but I want to gather more information before committing to a platform. Please let me know your opinions and experiences! Strong opinions are specially welcome!

I’m looking for a more advanced SQL course to recommend to some coworkers. Something self directed, with both teaching and exercises. Here are so many of these online platforms - any preferences? I haven’t had to learn SQL in a while so I’m having a hard time figuring out if one is much better than the other

Hi

I'm deciding between these two courses:

1. Udacity's Data Engineering with AWS

2. DataCamp's Data Engineering in Python

Which one offers better hands-on projects and practical skills? Any recommendations or experiences with these courses (or alternatives) are appreciated!

Hi. I'm considering spending $100-150 on either courses or subscribing on a learning platform. I know there are a ton of free resources and certificates, hence I'd like to know if there is anything you would actually recommend paying for.

My interest include: Basics statistics and probability, Python, R, SQL, Data visualization

As the title suggests, there are a lot of good reviews on Datacamp, however, i've taken courses on edx before and they are amazing. There are a few from MIT and IBM etc.

for a beginner, what would you recommend and why?

Has anyone done both or currently enrolled? I’m in The Google DA coursera and enjoy it but was wondering which would give me more value when it comes to the job market?

So, been learning some DE concepts (DW, Data Lakes, etc) But i really struggle with coding, and did some DataCamp free material, i really liked It Have any of you used the Premium version? Is It worth It?

I work as a Junior Data Analyst and my employer would like to provide me with a budget for further development. I can decide for myself how the money should be invested. I find DataCamp and Coursera interesting.

Has anyone had any experience with these and knows which platform would be better for professional development as a data analyst? Or do you know of other platforms that are even better?