Coursera “The Data Scientist’s Toolbox”

Posted on Posted in Data Analysis Resources

Hi!

I signed up for the course in Coursera called The Data Scientist’s Toolbox by Johns Hopkins University.  I liked the course for providing an easy and comprehensive list of tools required by a data scientist.

It covers various topics as to what you need as a data scientist. It is simple and concise with all the tools you require. It is easy to follow the course which provides an overview as to what data  science is exactly.

One of my biggest hurdles is whenever I install a software of package. There is always something different the way my computer acts up. The same thing happened in this course. After installing dev tools, I got “Warning in the install.packages : ‘lib = “C:/Program Files/R/R-3.2.3/library”‘ is not writable”.

I followed the advice of this website “http://geog.uoregon.edu/bartlein/courses/geog495/exercises/packages-and-data.html” and followed this:

Windows (RStudio)

In R-Studio, the Console command-line approach works the same as in the Windows R GUI, and usually simply installs the package, but it may also respond as follows:

## Error in install.packages : missing value where TRUE/FALSE needed

If that happens, quit R-Studio and try again. Note that if RStudio occupies the whole screen, the individual questions about creating the library may be hidden.

You can also use the Tools > Install packages… menu. If the personal library does not exist, the following message will appear

## Would you like to create a personal library 'C:\Users\bartlein\Documents/R/win-library/3.2' 
## to install packages into?  

Reply yes, and select or type the following in the dialog box that appears:

  1. Install from: Repository (CRAN, CRANextras)
  2. Packages: sp
  3. Install to Library: C:\Users\bartlein\Documents/R/win-library/3.2 (Default)
  4. Make sure “install dependencies” is checked
The package “dev tools” work now.

It is a comprehensive course which gives the nut and bolts to understand the concepts of data science or analysis.

Next step for me is to language R.

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