Data Science R

Course Content

Total learning: 19 lessons

R Programming for Data Science

1 R Programming for Analytics 

  • R Intro and Installation 
  • Downloading and Installing R 
  • Getting Help on a function 
  • Viewing Documentation 
  • General issues in R 
  • Packages Management 

2. Data Inputting in R 

  • Data Types 
  • Subsetting 
  • Writing data 
  • Reading tabular data files 
  • Reading from csv files 
  • Creating a vector and vector operations 
  • Initializing a data frame 
  • Control structures 
  • Selecting data frame cols by position and name 
  • Changing directories 
  • Re-directing R output 

3. Data Visualization in R 

  • Creating a bar chart, dot plot 
  • Creating a scatter plot, pie chart 
  • Creating a histogram and box plot 
  • Other plotting functions 
  • Plotting with base graphics 
  • Plotting with Lattice graphics 
  • Plotting and coloring in R 

4. Data Manipulation in R 

  • Appending data to a vector 
  • Combining multiple vectors 
  • List management 
  • Merging dataframes 
  • Data transformation 
  • Strings and dates 
  • Outlier detection 
  • Handling NAs and Missing Values 
  • Matrices and Arrays 
  • Logical operations 
  • Relational operators 
  • Accessing Variables 
  • Matrix Multiplication and Inversion
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