Advanced R Programming
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Rating | 3.9★ based on 105 ratings |
---|---|
Length | 5 weeks |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructors | Roger D. Peng, PhD, Brooke Anderson |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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What people are saying
object oriented programming
The Object oriented programming section did not provide an adequate amount of support for the assignment, compared to any of the other parts of the Course.
I did think there could more explanation given to object oriented programming R. Very useful, I considered myself quite an advanced R user, but this class raised the level, especially with the R as OOB part.
perfect The course has given me good insight into the functional and object oriented programming parts of R. Good Course!
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complete the assignment
That meant it took a lot of time figuring out what exactly was needed to complete the assignment and how to do it.
Overall I'm satisfied but I would appreciate a bit more attention to detail in the learning materials there are many typos and general grammar issues that break the concentration and some times require the reader to stop and guess what is being said from context.I also believe the 4th week is lacking sufficient content for the learner to complete the assignment.
I find that some of the course materials are not sufficient for the learners to understand the concept in R programming and complete the assignment.
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final project
The OOP portion of the final project was poorly constructed.
The final project was the only assignment in the course.
The final project is revised by the same students which in my opinion makes it more of a challenge.
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too much
The assignments are poorly written and missing too much detail.
In fact, it is quite "too much" on talking, but lack of examples of codes and real problem solves.
I learned a lot, but I shouldn't have to do too much outside work to complete assignments for a class I paid for.
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real world
I think a different type of real world object should be used, perhaps one that is not easily stored in a data frame.
This was really new for me and would love to have been able to see its application in real world examples to better cement the concepts.
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peer review
the last peer review problem is much too hard for what I learned from the course material, if there is a more specific instruction for the assignment will be better.
The one thing that bothered me was the peer review system for assignments.
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object-oriented programming
Object-oriented programming in R requires more than a single assignment to grasp- even at a superficial level.
A well-structured course on advanced and object-oriented programming.
The readings essentially say "Here is what object-oriented programming allows you to do [create/manipulate classes and objects]" but then goes back on itself by recommending that you do not use object-oriented programming to create custom classes or data structures because the R community already knows what data structures they like.
This did not help me by the time I had to complete the object-oriented programming portion of the final assignment.
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Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
AD, Data Science $47k
Associate Data Science Supervisor $55k
Science writer / data analyst $63k
Genomic Data Science Programmer $75k
Volunteer Director of Data Science $78k
Expert Data Science Supervisor $79k
Supervisor 1 Data Science Supervisor $91k
Guest Director of Data Science $101k
Data Science Architect $105k
Head of Data Science $131k
Assistant Director 1 of Data Science $133k
Owner Director of Data Science $149k
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Rating | 3.9★ based on 105 ratings |
---|---|
Length | 5 weeks |
Starts | Jul 3 (43 weeks ago) |
Cost | $49 |
From | Johns Hopkins University via Coursera |
Instructors | Roger D. Peng, PhD, Brooke Anderson |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Data Analysis Software Development |
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