What you will learn in this course?
About this courseIf you want to learn how to perform the basic statistical analyses in the R program, you have come to the right place. Now you don’t have to scour the web endlessly in order to find how to compute the statistical indicators in R, how to build a crosstable, how to build a scatterplot chart or how to compute a simple statistical test like the onesample t test. Everything is here, in this course, explained visually, step by step. So, what will you learn in this course? First of all, you will learn how to manipulate data in R, to prepare it for the analysis: how to filter your data frame, how to recode variables and compute new variables. Afterwards, we will take care about computing the main statistical figures in R: mean, median, standard deviation, skewness, kurtosis etc., both in the whole population and in subgroups of the population. Then you will learn how to visualize data using tables and charts. So we will build tables and crosstables, as well as histograms, cumulative frequency charts, column and mean plot charts, scatterplot charts and boxplot charts. Since assumption checking is a very important part of any statistical analysis, we could not elude this topic. So we’ll learn how to check for normality and for the presence of outliers. Finally, we will perform some basic, onesample statistical tests and interpret the results. I’m talking about the onesample t test, the binomial test and the chisquare test for goodnessoffit. So after graduating this course, you will know how to perform the essential statistical procedures in the R program. So… enroll today! Click the link or image below to access the course contents

You are the best judge of what needs to be done, but here are some considerations:

2) Modeling

3) Evaluation
Thumbrules:
References  Google Scholar  https://scholar.google.com/ 
Load the Car dataset
Simple Scatter Plot
Add Some color and change the shape of points
Add a fitline to the scatter plot
3D Scatter Plots
3D Scatter plots with colors and vertical drop lines
Using ggplot2
Add regression lines
Using googleVis


Get the temperature data from airquality dataset
Simple Histogram with colors
Using ggplot2
Using googleVis
