Where communities thrive

Join over 1.5M+ people
Join over 100K+ communities
Free without limits
Create your own community

Explore more communities

open-source-society/data-science

:bar_chart: Path to a free self-taught education in Data Science!

People

Repo info

Activity

Eric Douglas

@ericdouglas

Hey! :smile:

Ricky Reusser

@rreusser

Hi! I love what you've put together here. Just a quick question on philosophy:

From what I understand, there's a level of formality to jumping in and doing this (i.e. tracking progress with webapp)

The guide states: "Should I take all courses? Yes! The intention is to conclude all the courses listed here!"

What's the view on jumping in where it seems appropriate?

Ricky Reusser

@rreusser

In other words, people may be coming from a wide range of backgrounds such that some of the courses may not be a good investment of time (e.g. perhaps parts of the calc, probability, linalg, intro CS prereqs)

Not to get worked up about the details or anything, but just curious on the extent to which taking part in this is a formal process vs. a loose structure open to interpretation. :+1:

Shouvik Roy

@royshouvik

Hi @rreusser Welcome to Data Science channel

The intention is to cover as much prereq as possible without assuming anything about the learner's background

Also, to provide "Brush up" opportunity for people already comfortable, but definitely you can/should start at the appropriate level you feel

Subhrajyoti Sen

@SubhrajyotiSen

Hey! I will be starting the data-science path soon :smile:

Shouvik Roy

@royshouvik

Cool, let us know if you face any issue

Mukesh Sharma

@mukeshsharma04

Hi guys ! Just thinking to start this course

Xavier Sumba

@cuent

Hello guys! This talk could be interesting.
https://www.opendatascience.com/conferences/odsc-east-2016-jonathan-cornelissen-open-data-science-courses/

Omniscient

@JoshuaRowe11_twitter

A lot if not most of the content in the Data Science Nanodegree is already covered in the courses recommended by OSS, I dont know if it should then be recommended as a Specialisation for after youve finished all the MOOCs, as it doesnt really add anything new

Shouvik Roy

@royshouvik

I agree @JoshuaRowe11_twitter , its suggested not recommended though

Arun Chaudhry

@arch1212

hey, are you guys taking one course at a time?

Shouvik Roy

@royshouvik

Hi @arch1212 , it depends on how much time you devote... if you are working full time or have to attend school/college, then don't start more than 2 courses at a time ( doing 1 at a time is better)

else you can bump up the number , but try not to do more than 3 at once

Ghost

@ghost~56bf6c3de610378809c146c9

Hi guys.

Arun Chaudhry

@arch1212

Thanks @royshouvik I have just finished the Course on Git and GitHub. I am devoting my full time to this. But I have found that I am more productive if I concentrate on only one course at a time rather than taking a couple more. I tend to lose track and eventually fall behind.

Hey, Can anyone recommend projects for Statistics with R?

Ahmed Talaat

@BlaCK05

Hey

gmunish007

@gmunish007

Hey @royshouvik . i have just started with data science course. Anything I should keep in mind while going through the course

Shouvik Roy

@royshouvik

@gmunish007 Can't think of anything specific.. Feel free to ask questions if something is not clear

Shouvik Roy

@royshouvik

Linear Algebra : Foundations to Frontiers is now open

shakkeel ahmed

@ShakkeelAhmed_twitter

Hey

How long will it take to finish the entire course

KarloGuidoniMartins

@kguidonimartins_twitter

Hello, is there any provision for the publication of the curriculum in data science?

KarloGuidoniMartins

@kguidonimartins_twitter

Sorry, I found the course (or curriculum as I said earlier).

wsr13990

@wsr13990

Hey everyone :smile:

Just want to ask, is there any textbook required to follow this path?

Shouvik Roy

@royshouvik

@wsr13990 the courses should be self sufficient, there are lot of great textbooks available on the internet if you are interested

Eric Douglas

@ericdouglas

@royshouvik We now have a new way to track our progress in the OSSU-CS curriculum. Maybe it would be helpful to do something like this for the DS course as well. In this section you can understand how it will be done now :smile:

Shouvik Roy

@royshouvik

@ericdouglas sweet! Standing on the shoulder of "Trello" giant ;) I will get it going for the DS curriculum as well

Eric Douglas

@ericdouglas

@royshouvik yeah, totally! You know:

"Simplicity is the ultimate sophistication."

Leonardo da Vinci

:smile:

Tanishq Krishnan

@TanKris

Hey!

Tanishq Krishnan

@TanKris

Has anyone completed all the courses as given? If so, how long did take you complete it?

Also how does this course compare with the data science master course

Mahdi Dibaiee

@mdibaiee

Hey guys, I just wanted to say a big thank you to everyone involved! Specially @royshouvik for starting this. :+1:
I've been following the course for the past month + a few weeks, I finished the Linear Algebra section and I'm now working my way through Calculus, I was told these stuff in school and university, but I was never actually taught, now I'm actually learning the concepts in and out.

Shouvik Roy

@royshouvik

Good luck :+1: @mdibaiee

Jigyasu Arya

@lastnamearya

How long does it take to Complete all these courses on average ? Like 1000 hours or what can anyone here give me any idea about this so I plan my Studies accordingly 😐😐

Mahdi Dibaiee

@mdibaiee

@lastnamearya I don't know about the whole path, I started around 3 months ago (20.09.16) and I'm on Calculus B right now, I do it alongside work and university and everything, I think on average I put 2-3 hours a day on it, sometimes more sometimes less.

what I really like about it is it has become a habit of mine to follow the courses everyday, I estimate I'm going to finish Multivariable Calculus in 2 months with this pace

ionakathryn

@ionakathryn

Sorry I've posted in the wrong group. I was meant to post in CS50!

Shouvik Roy

@royshouvik

Hello everyone, Hows your data science journey going?

If any of you are struggling with the math prereq (Linear Algebra, Probability) for the data science path, I highly recommend Khan Academy

Mahdi Dibaiee

@mdibaiee

@royshouvik I'm on Calculus 1B: Integration, last chapter, and I'm excited for the next part!

I was just wondering, I haven't seen much integration in use in data science personally, differentiation, that's a key, but integration? Hardly seen it anywhere.
How does it apply to data science problems? (I understand that it's very good to know calculus inside out, and it really helped me with my math skills anyways, just asking out of curiosity!)

@royshouvik Also another question: I'm a programmer for 4 years now and I've worked with numpy, scikit and tensorflow a little before, should I take the python courses?
Thank you Shouvik! :+1:

Shouvik Roy

@royshouvik

You are right @mdibaiee Integration isn't needed as is in Data Science, it's kind of a basic math prereq (along with other Calculus topics) which would help in any technical field. It might help in visualizing the area under a curve (size of a population, give a bounding curve), what do you think?