Advanced Statistics for Data Science

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Below are the top discussions from Reddit that mention this online Coursera specialization from Johns Hopkins University.

Offered by Johns Hopkins University. Familiarize yourself with fundamental concepts in probability and statistics, data analysis and linear ... Enroll for free.

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Taught by
Brian Caffo, PhD
Professor, Biostatistics
and 12 more instructors

Offered by
Johns Hopkins University

This specialization includes these 2 courses.

Reddit Posts and Comments

0 posts • 38 mentions • top 4 shown below

r/Udemy • comment
1 points • noodlepotato

  • I'm happy I got the deep learning specialization part right. Will take it around January, just waiting for my financial aid.

  • Any specific coursera course that you can recommend me? I'm currently refreshing myself with Khan Academy Stats but I'm currentlu eyeing on this course, https://www.coursera.org/specializations/advanced-statistics-data-science to further my stat knowledge.

  • project-goal? You mean like capstones?

  • Any courses that you paid that really improve your quality of life when it comes to Data Sci? Aside from the deeplearning.io, maybe I can check it out too.

Sorry for a ton of question. I'm really sick of my current job, I'm so unutilized with below average pay.

r/learnmachinelearning • comment
1 points • rtayek

johns hopkins has a bunch of stat stuff: https://www.coursera.org/specializations/advanced-statistics-data-science and https://www.coursera.org/specializations/data-science-statistics-machine-learning etc.

r/AskStatistics • comment
3 points • ColinKaepooya

Coursera has a lot of courses you can audit for free. It's not too expensive to get a handful of certifications if you want those, but the certifications themselves are probably not worth it.

For R:

Data Science

Advanced Statistics for Data Science

For Python:

Statistics

Applied Data Science

Other Languages:

Excel, Tableau, MySQL

SAS

r/datascience • comment
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/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!