Learning R Programming for Data Science

" Data Science Overview Introduction to Data Science Data Science: Career of the Future What is Data Science. Data Science as a Process Data Science Toolbox Data Science Process Explained What’s Next R and RStudio Engine and Coding Environment Installing R and RStudio RStudio: A Quick Tour Introduction to Basics Arithmetic With R Variable Assignment Basic data types in R Vectors Creating a Vector Naming a Vector Arithmetic Calculations On Vectors Vector selection Selection By Comparison Matrices What’s a Matrix Analyzing Matrices Naming a Matrix Adding Columns and Rows To a Matrix Selection of Matrix Elements Arithmetic with Matrices Factors What is Factor Categorical Variables and Factor Levels Summarizing a Factor Ordered Factors Data Frames What’s a Data Frame Creating a Data Frame Selection of Data Frame elements Conditional selection Sorting a Data Frame Lists Why Would You Need Lists Creating Lists Selecting Elements From a List Adding more data to the list Relational Operators Equality Greater and Less Than Compare Vectors Compare Matrices Logical Operators AND, OR, NOT Operators Logical Operators with Vectors and Matrices Reverse the result: (!) Relational and Logical Operators Together Conditional Statements The IF Statement IF…ELSE The ELSEIF Statement Full Exercise Loops Write a While Loop Looping With More Conditions Break: Stop the While Loop What’s a For Loop Loop Over a Vector Loop Over a List Loop Over a Matrix For Loop With Conditionals Using Next and Break With For Loop Functions What is Function Arguments Matching Required and Optional Arguments Nested functions Writing Own Functions Functions With No Arguments Defining Default Arguments In Functions Function Scoping Control Flow in Functions R Packages Installing R Packages Loading R Packages Different Ways To Load a Package The Apply Family - Lapply What Is Lapply and When Is Used. Use Lapply With User-Defined Functions Lapply and Anonymous Functions Use lapply With Additional Arguments The Apply Family - Sapply & Vapply What is Sapply How to Use Sapply Sapply With Your Own Function Sapply With a Function Returning a Vector When Can’t sapply Simplify. What is Vapply and Why is it Used. Useful Functions Mathematical Functions Data Utilities Regular Expressions Grepl & Grep Metacharacters Sub & Gsub More Metacharacters Dates And Times Today and Now Create and Format Dates Create and Format Times Calculations with Dates Calculations with Times Getting and Cleaning Data Get and Set Current Directory Get Data From the Web Loading Flat Files Loading Excel files Plotting Data in R Base Plotting System Base plots: Histograms Base plots: Scatterplots Base plots: Regression Line Base plots: Boxplot Data Manipulation With dplyr Introduction to Dplyr Package Using the Pipe Operator (%%) Columns component: select() Columns component: rename() and rename_with() Columns Component: Mutate() Columns Ccomponent: Relocate() Rows Component: Filter() Rows Component: Slice() Rows Component: Arrange() Rows Component: Rowwise() Grouping of Rows: Summarise() Grouping of Rows: Across() COVID-19 Analysis Task"