Introduction to Data Analytics Business Analytics, Data, Information 30 min Understanding Business Analytics and R 30 min Compare R with other software in analytics 30 min Install R 30 min Perform basic operations in R using command line 30 min Learn the use of IDE RStudio 30 min Use the ‘R help’ feature in R 30 min Introduction to R programming Variables in R 30 min Scalars 30 min Vectors 30 min Matrices 30 min List 30 min Data frames 30 min Using c, Cbind, Rbind, attach and detach functions in R 30 min Factors 30 min Data Manipulation in R Data sorting 30 min Find and remove duplicates record 30 min Cleaning data 30 min Recoding data 30 min Merging data 30 min Slicing of Data 30 min Merging Data 30 min Apply functions 30 min Data Import techniques in R Reading Data 30 min Writing Data 30 min Basic SQL queries in R 30 min Web Scraping 30 min Exploratory data Analysis Box plot 30 min Histogram 30 min Pareto charts 30 min Pie graph 30 min Line chart 30 min Scatterplot 30 min Developing graphs 30 min Overview of Machine Learning techniques Standard deviation 30 min Outlier 30 min Linear regression 30 min Multiple regression 30 min Logistic regressions 30 min Correlation 30 min R Programming Training Back to Course This content is protected, please login and enroll course to view this content! Prev Scalars Next Matrices
