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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHER -----·> Packt Publishing
·-- LECTURESHIP ---·> Mastering Data Analysis with R
·-- ISBN ----------·> 9781787125100
·-- LECTURE DATE --·> 06-2017
05-2017 {Published}
·-- PERIOD in HRS--·> 03+
·-- SCALE ---------·> 19x50mb
·-- WORKING FILES--·> [■] Included
[ ] Without
·-- LECTURE LINK --·> https://goo.gl/T83zFL
Master R's advanced techniques to solve real-world problems in data
analysis and gain valuable insights from your data
About This Video
Delve into data visualization and regression-based methods with
R/RStudio.
Conduct independent data analyses.
Tackle multiple linear regression with R
Learn the essentials of ROC curves
Explore multinomial logistic regression with categorical response
variables at three levels
Master prediction and model assessment.
In Detail
With its popularity as a statistical programming language rapidly
increasing with each passing day, R is increasingly becoming the
preferred tool of choice for data analysts and data scientists who want
to make sense of large amounts of data as quickly as possible. R has a
rich set of libraries that can be used for basic as well as advanced
data analysis tasks. If you have a basic understanding of data analysis
concepts and want to take your skills to the next level, this video is
for you. Spanning over four hours, it contains carefully selected
advanced data analysis concepts such as: cluster analysis; time-series
analysis; Association mining; PCA (Principal Component Analysis);
handling missing data; sentiment analysis; spatial data analysis with R
and QGIS; advanced data visualization with R and ggplot2.
Throughout the video, readers will use the various topics they've
learned about to analyze real-world datasets from various industry
sectors. By the end of the tutorial, readers will have a thorough
understanding of advanced data analysis concepts and how to implement
them in R.