This is an undergraduate level course on Exploratory Data Analysis (EDA).
Course description:
Some basic concepts: definition of statistics. Populations and samples, randomness and independence.Data sources, data types, methods of data collection, numerical summaries of data, data exploratory techniques: data displays; box plot, stem and leaf, histogram, charts, diagrams. Frequency distribution: tables, graphical dis- plays, scatter plots, frequency graphs. Summary statistics: measures of location and dispersion, skewness and kurtosis. Repeated measures data, correlation.Use of R/GensStat/SPSS/Excel software, with real data.
Reference books
https://discdown.org/rprogramming/index.html
https://bookdown.org/rdpeng/rprogdatascience/