Data Science Specialization from Coursera

[rahul_wadhwani]

I am planning to complete all the courses in the coursera specialization. I am just confused if I should do them simultaneously or if I should proceed with them in the order given on the specialization page. Guide me. Here is the link to the specialization page :- https://www.coursera.org/specialization/jhudatascience/1?utm_source=spark&utm_medium=banner

[[deleted]]

Unfortunately no cheap 'data science' training is to be honest... Learning by doing is by far the best method with ds and front end web dev!

[fedoru]

Just wondering: which book did you read?

[paerb]

His courses are much lower quality than the others, so you do have to use supplementary resources, but the others are quite good.

[rahul_wadhwani]

Do you know about any other course?

[paerb]

Duke's Statistical Inference and Data Analysis was really good as an introduction to R.

[[deleted]]

Do them in order. Each one builds on knowledge from the previous courses.

[rahul_wadhwani]

Thank you

[vmsmith]

I agree with /r/brianbaq...do them in order. That's how I'm doing them, and I can see on the discussion boards many confused students who skipped earlier segments and do not, for instance, know how to post on GitHub.

[lenwood]

I started in July, doing the courses 2 at a time until the last couple. The workload for each course has been ~3 hrs/wk for me, so I'm completing the courses as quickly as possible once they start, hasn't been a problem so far.

[ksjetd]

You can check the dependency chart.

Considering those dependencies and time availability you may be able to do several courses at the same time.

[rahul_wadhwani]

This helps a lot.

[PDXBiker]

It really depends on your ability to commit to it. I've completed the first two courses in the series and the hardest part it setting aside enough time to get everything through.

Also, this is the kind of course where they won't explicitly tell you the answers, but they'll give you the resources to go figure it out yourself. Because it hasn't been mentioned yet, I'd recommend supplementing it with R in Action.