Data Science Math Skills

An elementary online course @ Coursera is just starting https://www.coursera.org/learn/datasciencemathskills

Coursera has a couple of classes that might help...

https://www.coursera.org/learn/datasciencemathskills

https://www.coursera.org/specializations/mathematics-machine-learning

just a simple question fam

I’ve seen similar freebies that offered a certification as well. Doesn’t have to be something big, but still something you can put on a resume for the hell of it to show you are an independent learner

I have oriented on this question quite a bit and in general math is not used that much. It is when you’re more at the algorithm/deep learning side of things. It is however useful to have a grasp on some algebra, calculus and linear regression in particular. So I’m going to do these courses:

- [ ] Algebra https://www.coursera.org/learn/datasciencemathskills 
- [ ] Lineair https://www.coursera.org/learn/linear-algebra-machine-learning or https://github.com/fastai/numerical-linear-algebra/blob/master/README.md 
- [ ] Calculus https://www.edx.org/course/pre-university-calculus or https://www.coursera.org/learn/multivariate-calculus-machine-learning of easy way out —> http://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab

Statistics is more useful to read up on.

There are optional modules (and I fully intend to take all of them) throughout the degree that cover data analysis but do you think doing online courses on some components ahead of time would be useful? E.g Basic statistics.

I have always been weak at Maths so thank you for the book suggestion. It seems to be quite old but I have found cheap used copies on amazon. I also found a Math skills for Data science course for free and will try to complete that.

https://www.coursera.org/learn/datasciencemathskills?

I had not even considered the price of software, thank you for pointing that out.

This might be overkill, but I have a similar level of formal math background and I found this course very helpful in helping me get up to speed.

I'm still in my early DS career but I'll definitely take a look. Here's the syllabus: https://www.coursera.org/learn/datasciencemathskills#syllabus

• Week 1: Syllabus day.
• Week 2: Set theory and Number theory.
• Week 3: Algebra? I don't know how deep this goes.
• Week 4: Calculus 101.
• Week 5: Probability 101.

This is a good course to get maybe a surface level introduction to DS in general, aimed at 1st year undergraduate students. Week 1-3 covers topics at the HS-level and Weeks 4-5 covers topics at the introductory Bachelor's level. If I were new and finishing up this course I would definitely go deeper into Intermediate Calculus and Statistics, at least to the 200's level that colleges offer. Then I'd learn Python at the CS 101 level. Finally, to finish off the pre-requisites I'd learn Linear Algebra. These additional courses are the minimum to get into a Masters-level DS program (from what I've seen).

Planning a course list for undergraduate self study 'degree', and would like your input.

Hello, yet another one planning on Bachelors level studies online with heavy emphasis on machine learning and data science, i've been trying to put together a list of courses for my self to complete (and get a fancy certificate for completed courses) using coursera. So far I've come up with following list:

Learn to Program: The Fundamentals and Learn to Program: Crafting Quality Code (University of Toronto - https://www.coursera.org/learn/learn-to-program / https://www.coursera.org/learn/program-code )

Introduction to Discrete Mathematics of Computer Science (University of California, Sand Diego High School of Economics - https://www.coursera.org/specializations/discrete-mathematics )

Data Science Math Skills (Duke University - https://www.coursera.org/learn/datasciencemathskills ) Introduction to Logic (Standford University - https://www.coursera.org/learn/logic-introduction )

Data Structures and Algorithms (University of California, San Diego, High School of Economics - https://www.coursera.org/specializations/data-structures-algorithms )

Fundamentals of Computing (Rice University - https://www.coursera.org/specializations/computer-fundamentals )

Machine Learning (Stanford University - https://www.coursera.org/learn/machine-learning )

Deep Learning (deeplearning.ai - https://www.coursera.org/specializations/deep-learning )

Software Design and Architecture Specialization (University of Alberta - https://www.coursera.org/specializations/software-design-architecture )

Natural Language Processing (High School of Economics - https://www.coursera.org/learn/language-processing )

Data Science Specialization - (John Hopkins University - https://www.coursera.org/specializations/jhu-data-science)

When it comes to math, physics and possibly electrical engineering I've considered relying purely on khanacademy to fill in the gaps I have at moment.

So here's the main question, is there something you guys/gals can see that is "wrong", is there something that's missing or just would be nice to add on top of that?

Any comments/critique/your opinions are most welcome!

coursera offers a bunch of courses for free and alot of them are really high quality.

this one might be interesting for you: https://www.coursera.org/learn/datasciencemathskills?action=enroll&authMode=signup

I just tried to search Coursera to find the precalc course I took awhile ago. It wasn’t there. I found this though, and it looks promising as far as data science goes: https://www.coursera.org/learn/datasciencemathskills

Also, this isn’t currently running, but it was interesting: https://www.edx.org/course/discovery-precalculus-creative-connected-utaustinx-ut-prec-10-03x

Is there a course online that will help me learn the math required for a data scientist position? I've read here that linear algebra, calc, and stats will be sufficient math prerequisites for this position?

Are these courses any good?

https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/

https://www.coursera.org/learn/datasciencemathskills

I'm missing one for calculus, anyone got a recommendation?

Sounds like you just have some learning gaps to fill in and need guidance on how to fill them. Beyond that, I recommend interning or volunteering to gain industry experience and domain expertise (e.g. retail, real estate, healthcare, education, pharma, politics, etc). But first thing's first!

Regarding your skills gaps, you may find these courses helpful on Coursera (I took them myself):

Data Science Math Skills - to review the basics and fill in any foundational gaps https://www.coursera.org/learn/datasciencemathskills

Executive Data Science - for high level overview of the field and better understanding of types of roles available https://www.coursera.org/specializations/executive-data-science

You might also check out courses in these specializations (although I have not personally reviewed them):

Advanced Statistics for DS https://www.coursera.org/specializations/advanced-statistics-data-science

Mathematics for Machine Learning https://www.coursera.org/specializations/mathematics-machine-learning

Algebra - Elementary to Advanced https://www.coursera.org/specializations/algebra-elementary-to-advanced

Precalculus thru Data & Modeling https://www.coursera.org/specializations/precalculus-data-modelling

Differential Calculus thru Data & Modeling https://www.coursera.org/specializations/differential-calculus-data-modeling

Data Structures and Algorithms https://www.coursera.org/specializations/data-structures-algorithms

Algorithms https://www.coursera.org/specializations/algorithms

*Note: specializations are not available to audit on Coursera, but you may audit each course within a specialization at no cost to you. Certificates available for a fee.

**Information only, not advice or advertisement

Hope this helps!

Anyway, I’ve copied the article:

1. Getting Started with AWS Machine Learning ( offered by Amazon Web Services) https://www.coursera.org/learn/aws-machine-learning

2. Machine Learning for Business Professionals (offered by Google Cloud) https://www.coursera.org/learn/machine-learning-business-professionals

3. C++ For C Programmers, Part A (offered by University of California, Santa Cruz) https://www.coursera.org/learn/c-plus-plus-a

4. Build Your First Android App (Project-Centered Course). Offered by CentraleSupélec https://www.coursera.org/learn/android-app

5. Introduction to Programming with MATLAB https://www.coursera.org/learn/matlabp

6. Data Science Math Skills (offered by Duke University) https://www.coursera.org/learn/datasciencemathskills

7. Cloud Computing Basics (Cloud 101). Offered by “LearnQuest” https://www.coursera.org/learn/cloud-computing-basics

8. Google Cloud Platform Fundamentals for AWS Professionals (offered by Google Cloud) https://www.coursera.org/learn/gcp-fundamentals-aws

Enroll yourself on free coursera courses-

My fav. courses i recommend are -

1. model thinking -https://www.coursera.org/learn/model-thinking
2. Problem solving -https://www.coursera.org/learn/computational-thinking-problem-solving/
3. how to get skilled -https://www.coursera.org/learn/skills-management/h
4. negotiation skills strategies -https://www.coursera.org/learn/negotiation-skills/
5. data science math skills -https://www.coursera.org/learn/datasciencemathskills

You can easily learn if u can devote 5 hours per week. There are many courses online. I recently learnt how to make AI chatbots using Microsoft Botframework it was useful skill it was not very hard. But it needs focused mind .

you can learn many things online - But learning is not just enrolling a course but rather doing on your own. IF you have learnt xyz skill then find a idea and try to make it happen using your skill, you can make website or teach someone whatever u learnt.

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Also you can try to learn higher paying skills - especially when Cloud computing is rising fast- one should learn it asap. Otherwise lots of jobs will cutoff due to automation