Data Science Cool Learning Resources

1. http://scott.fortmann-roe.com/docs/BiasVariance.html

[Understanding the Bias-Variance Tradeoff] from Udacity's Data Analysis with R course

2. http://www.perossi.org/home/bsm-1
[Bayesian Statistics & Marketing] : Features the Yogurt data set from Data Analysis with R course

http://flowingdata.com/2014/02/27/how-to-read-histograms-and-use-them-in-r/

[How to Read & Use Histograms in R]

4.
http://rstudio-pubs-static.s3.amazonaws.com/4305_8df3611f69fa48c2ba6bbca9a8367895.html

Turning a Table into a Horizontal Bar Graph using ggplot2

5.
http://www.ats.ucla.edu/stat/r/faq/smooths.htm
Exploring Different smooths in ggplot2

6
http://dept.stat.lsa.umich.edu/~kshedden/Courses/Stat401/Notes/401-bivariate-slides.pdf

All about Bivariate Analysis

7.
http://a-little-book-of-r-for-time-series.readthedocs.org/en/latest/src/timeseries.html
Using R for Time-Series

8.
http://www.r-tutor.com/elementary-statistics/numerical-measures/percentile
Calculating percentiles in R

9.
http://blog.rstudio.org/2014/07/22/introducing-tidyr/
Introducing tidyr

10.
http://www.statmethods.net/advgraphs/parameters.html
[using different symbols when plotting points for e.g.; ]