Data Science
Statistics and Machine Learning

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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. Enroll for free.

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Taught by
Jeff Leek, PhD
Associate Professor, Biostatistics
and 2 more instructors

Offered by
Johns Hopkins University

This specialization includes these 4 courses.

#1
Statistical Inference
Statistical inference is the process of drawing conclusions about populations or scientific truths from
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
16 mentions
#2
Regression Models
Linear models, as their name implies, relates an outcome to a set of predictors of interest using
Johns Hopkins University
Brian Caffo, PhD
0 reddit posts
6 mentions
#3
Practical Machine Learning
One of the most common tasks performed by data scientists and data analysts are prediction and machine
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
15 mentions
#4
Data Science Capstone
The capstone project class will allow students to create a usable/public data product that can be used
Johns Hopkins University
Jeff Leek, PhD
0 reddit posts
1 mentions

Reddit Posts and Comments

0 posts • 44 mentions • top 4 shown below

r/datascience • comment
10 points • MarvelvsDC2019

Hey man I really appreciate that response. I definitely appreciate that link about SQL. I’ve def seen a lot of different courses about SQL and frankly I feel a bit overwhelmed by it so it’s good to know there’s one that I can take that will be enough to put it on my resume.

I’m actually currently taking the Data Science: Statistics and Machine Learning Specialization through Johns Hopkins on Coursera: https://www.coursera.org/specializations/data-science-statistics-machine-learning

Do you think I should drop it and just go to the one that you sent?

I’m on regression models right now. It’s been a while since I’ve done anything with econometrics so I wanted to do a refresher and also I wanted to go through all of it so I can get the certificate for the specialization.

Should I just finish up the whole thing or just transition over to Python? This specialization is purely R. I know that people have been saying that python is good but from the jobs that I’ve seen, it seems like either R and Python are preferred and people have said that these languages are very similar and that if you know one it’s easy to transition.

Someone earlier said that R’s data frame is very much like pandas and Numpy.

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r/datascience • comment
1 points • rtayek

jh does a lot of stuff in r: https://www.coursera.org/specializations/data-science-statistics-machine-learning

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r/datascience • comment
1 points • Waldo805

Machine Learning

Data Science: Foundations using R Specialization

Data Science: Statistics and Machine Learning Specialization

(I'm not sure why it got removed maybe bc it was self promotion perhaps?)

Go to Reddit comment
r/datascience • comment
1 points • YouNeedToGrow

Planning on doing these Coursera courses in this order:

https://www.coursera.org/specializations/data-science-foundations-r

https://www.coursera.org/specializations/introduction-data-science

https://www.coursera.org/specializations/applied-data-science

https://www.coursera.org/specializations/ai-foundations-for-everyone

https://www.coursera.org/specializations/data-science-statistics-machine-learning

https://www.coursera.org/specializations/ibm-intro-machine-learning

https://www.coursera.org/specializations/deep-learning

https://www.coursera.org/specializations/advanced-data-science-ibm

I want to become proficient enough in Data Science to be able to have it as a "tool in my toolbox." What are your thoughts on my self-teaching course plan?

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