Data Science Math Skills
Below are the top discussions from Reddit that mention this online Coursera course from Duke University.
Offered by Duke University. Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you ... Enroll for free.
Reddsera may receive an affiliate commission if you enroll in a paid course after using these buttons to visit Coursera. Thank you for using these buttons to support Reddsera.
Taught by
Daniel Egger
Executive in Residence and Director, Center for Quantitative Modeling
and 1 more instructor
Offered by
Duke University
Reddit Posts and Comments
0 posts • 15 mentions • top 14 shown below
7 points • pecpow
An elementary online course @ Coursera is just starting https://www.coursera.org/learn/datasciencemathskills
9 points • nomdereddit
Coursera has a couple of classes that might help...
https://www.coursera.org/learn/datasciencemathskills
https://www.coursera.org/specializations/mathematicsmachinelearning
2 points • MLong32
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
13 points • theritznl
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/linearalgebramachinelearning or https://github.com/fastai/numericallinearalgebra/blob/master/README.md
 [ ] Calculus https://www.edx.org/course/preuniversitycalculus or https://www.coursera.org/learn/multivariatecalculusmachinelearning of easy way out —> http://www.youtube.com/watch?v=fNk_zzaMoSs&list=PLZHQObOWTQDPD3MizzM2xVFitgF8hE_ab
Statistics is more useful to read up on.
1 points • ViscountOfLemongrab
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.
1 points • mowshowitz
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.
1 points • mizmato
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 13 covers topics at the HSlevel and Weeks 45 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 prerequisites I'd learn Linear Algebra. These additional courses are the minimum to get into a Masterslevel DS program (from what I've seen).
21 points • RGnt
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/learntoprogram / https://www.coursera.org/learn/programcode )
Introduction to Discrete Mathematics of Computer Science (University of California, Sand Diego High School of Economics  https://www.coursera.org/specializations/discretemathematics )
Data Science Math Skills (Duke University  https://www.coursera.org/learn/datasciencemathskills ) Introduction to Logic (Standford University  https://www.coursera.org/learn/logicintroduction )
Data Structures and Algorithms (University of California, San Diego, High School of Economics  https://www.coursera.org/specializations/datastructuresalgorithms )
Fundamentals of Computing (Rice University  https://www.coursera.org/specializations/computerfundamentals )
Machine Learning (Stanford University  https://www.coursera.org/learn/machinelearning )
Deep Learning (deeplearning.ai  https://www.coursera.org/specializations/deeplearning )
Software Design and Architecture Specialization (University of Alberta  https://www.coursera.org/specializations/softwaredesignarchitecture )
Natural Language Processing (High School of Economics  https://www.coursera.org/learn/languageprocessing )
Data Science Specialization  (John Hopkins University  https://www.coursera.org/specializations/jhudatascience)
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!
1 points • nanno3000
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
1 points • bickhaus
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/discoveryprecalculuscreativeconnectedutaustinxutprec1003x
1 points • shanebagel
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/1806linearalgebraspring2010/
https://www.coursera.org/learn/datasciencemathskills
I'm missing one for calculus, anyone got a recommendation?
3 points • professor_hamm
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/executivedatascience
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/advancedstatisticsdatascience
Mathematics for Machine Learning https://www.coursera.org/specializations/mathematicsmachinelearning
Algebra  Elementary to Advanced https://www.coursera.org/specializations/algebraelementarytoadvanced
Precalculus thru Data & Modeling https://www.coursera.org/specializations/precalculusdatamodelling
Differential Calculus thru Data & Modeling https://www.coursera.org/specializations/differentialcalculusdatamodeling
Data Structures and Algorithms https://www.coursera.org/specializations/datastructuresalgorithms
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!
2 points • shiningmatcha
Anyway, I’ve copied the article:

Getting Started with AWS Machine Learning ( offered by Amazon Web Services) https://www.coursera.org/learn/awsmachinelearning

Machine Learning for Business Professionals (offered by Google Cloud) https://www.coursera.org/learn/machinelearningbusinessprofessionals

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

Build Your First Android App (ProjectCentered Course). Offered by CentraleSupélec https://www.coursera.org/learn/androidapp

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

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

Cloud Computing Basics (Cloud 101). Offered by “LearnQuest” https://www.coursera.org/learn/cloudcomputingbasics

Google Cloud Platform Fundamentals for AWS Professionals (offered by Google Cloud) https://www.coursera.org/learn/gcpfundamentalsaws
1 points • verywellpeople
Enroll yourself on free coursera courses
My fav. courses i recommend are 
 model thinking https://www.coursera.org/learn/modelthinking
 Problem solving https://www.coursera.org/learn/computationalthinkingproblemsolving/
 how to get skilled https://www.coursera.org/learn/skillsmanagement/h
 negotiation skills strategies https://www.coursera.org/learn/negotiationskills/
 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.
​
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