Top 3 Programming Languages For Data Science

📱 SOCIAL MEDIA
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[yakumo_kei]

Top 3 languages for Data Science are English, body language, and programming language, if you observe Joma.

[abhisheksharma]

Three language
1. Python
2. Sql
3. R
4. Tableau (not in the list but it's great for data visualization)

[rewrini]

Hey Joma. I’m a 15 year old programmer and you have seriously inspired me. I’m now taking a course on data analytics and data science thanks to you. Keep up the great work🙏🏽

[ominous]

My work requires Python and SQL but I’ll still go out of my way to do some data analysis in R. Have to keep the R skills fresh

[joshuap]

Holy wow! Nice work on the video Joma! Thanks for answering my Twitter question!

[fruitfcker]

09:02 The reason why Joma has no girlfriend.

[MichaelJayValueInvesting]

Joma, just curious do you apply any data science techniques when looking at your own YouTube analytics?

[javierquiroga]

9:03 all you need to know in order to motivate yourself on coding

[yanniszachos]

As Ashraf pointed out, you can create a web app in R using R Shiny. Given that, I would say one significant problem with R is that it is single threaded.

[ashrafuzzamanshahriar]

R shiny is the web framework for R community .

[SlimJim]

Thanks for being honest and open about your weaknesses as a team leader and communicator. I struggle with the same thing so I can definitely relate.

[andrewninh]

Agree that SQL, R, and Python are the most important languages for data science, but SQL is way more than just a query language. Anyone who has worked in NLP or needed to query massive datasets knows this (unless infrastructure has changed significantly). What if you want to do a calculation using columns across tables with millions or billions of rows? Are you going to query the whole table and calculate in R/Python and put back into SQL? Maybe if you want to wait around longer. 90% of the work and understanding the dataset is in SQL; Python and R are to build models (that's where the libraries come in).

[patientson]

Bruh, you're not a narcissist. You're just a great mind looking to help people with like mindset.

[icaromoraiss]

I'm 18 years old and I've been working as analyst and developer of systems for more than a year and a half and I also struggle with communication, but more importantly, the way I express my thoughts, and I share the feeling that this is something that impacts my development as a professional. On the technical side, I think I do well both on back and front end ( I must keep improving, what I meant is that I learn things easily) but I feel like I really have to learn more specific skills related to web development and mobile development to be able to achieve what I want until I turn 21. I live in Brazil, and the company that I work for provides software for real estate companies, I started there as a intern and I've been doing pretty good, but I feel like I can learn from your experience and I wonder if you or anyone here got some advice they would like to share. BTW, your kind of humor is my kind of humor and that's dope, thanks for the work my man

[charulgupta]

Thank you so much for making this...really needed the clarity on this!

[Mellowyellow]

R was created basically FOR statistical analysis and still used heavily by statisticians. Python is more versitile, but note that Pandas (handling of dataframes) was created due to necessity that people saw what R had and wanted to copy it. Each has its pros/cons really comes down to what you are trying to do..

[jeremykannegieer]

Hey Joma, since you had an internship at Citadel there are probably many people here between the finance and computer science profession (e.g. algorithmic trading) and those who may want to create the link between the two in the future since programming becomes more and more important. Maybe you could tell us where to put our focus on in terms of languages and give some hints on how to learn them (are coursera courses really sufficient?!) :)

[Ollinho]

I think you did SQL a bit of a disservice. While it is a querying language to extract data, you can also write complex queries that present the data in a format different from what it is stored in. Normally you could can do this in Python using Pandas but its normally faster to write in in a SQL query than in Python.

[skillzAREskILLz]

Joma I love your sense of humour brother, all the best on your current and future endeavours, thumbs up

[kaiyan]

Love this a Thank you for this not only fun but useful video