Data Science Course Syllabus

Data Science With R Course Syllabus

Module: 1 R Introduction

  • Overview of R Programming
  • Downloading and installing
  • Help of Function
  • Viewing documentation
  • General issues in R
  • Package Management

Module: 2 Data Inputting in R

  • Data Types
  • Subsetting
  • Writing data
  • Reading from csv files
  • Creating a vector and vector operation
  • Initializing data frame
  • Control structure
  • Re-directing R Output

Module: 3 Data Visualization

  • Creating bar chart and dot plot
  • Creating histogram and box plot
  • Plotting with base graphics
  • Plotting and coloring in R

free-demo-class

Module: 4 Basic Statistic

  • Computing Basic Statistics
  • Comparing means of two samples
  • Testing a proportion
  • Data Munging Basics

Module: 5 Functions and Programming in R

  • Flow control: For loop
  • If condition
  • Debugging tools

Module: 6 Data manipulation in R

  • List Management
  • Data Transformation
  • Merging Data Frames
  • Outlier Detection
  • Combining multiple vectors

Module: 7 R an Database

  • Performing queries
  • RODBC and DBI Package
  • Advanced Data handling
  • Combined and restructuring data frames

Module: 8 Statistical Modelling in R

  • Logical Regression
  • Hierarchical Clustering PCA for Dimensionality Reduction

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