Data Science

Data Science Online Training


Emploiservices one of the best training institute in leading IT online training. We provide best Data Science online training with our highly professional real-time trainers. Running Data Science sresults in dramatically improved performance, simplified administration and streamlined IT landscape resulting in lowering total cost of ownership. Emploiservices also does corporate training and help them to train their employees.

Data Science Online Training


Introduction

  • Origin of R
  • Downloading&Installing R, RStudio
  • Interface of R
  • R Components.

Data inputting in R

  • Data Types, Data objects & Data structures
  • Creating a vector &Vector operations
  • Subsetting
  • Writing Data
  • Reading Tabular data files
  • Reading CSV data files
  • Initializing Data frame
  • Selecting Data frame columns by position and name
  • Redirecting R output

Definition of Industry Terms

  • Data Types, Data objects & Data structures
  • Creating a vector &Vector operations
  • Subsetting
  • Writing Data
  • Reading Tabular data files
  • Reading CSV data files
  • Initializing Data frame
  • Selecting Data frame columns by position and name
  • Redirecting R output

Data Manipulations in R

  • Appending data to a vector
  • Combining Multiple Vectors
  • Merging data frames
  • Data Transformation
  • Control structures
  • Nested loops
  • Splitting
  • String and Dates
  • Handling NA and missing values
  • Matrices & Arrays
  • Functions in R
  • Logical operators
  • Relational operators
  • Generating Random Variables
  • Accessing Variables
  • Matrices multiplication
  • Managing subset of data
  • Data Aggregation
  • Multiple Aggregations
  • 4 Control Structures, Functions
  • Debugging
  • Simulations
  • Plotting – Base Graphics
  • Plotting – Lattice Graphics
  • Plotting – Mathematical Annotations
  • Plotting & Color

Statistics

  • Uni Variate Analysis
  • Measure of Central tendency
  • Dispersions Techniques.
  • Distributions
  • Tests
  • Multi Variate Analysis
  • Correlation
  • Regression

Regression models

  • linear regression models
  • Non Linear regression models
  • Logistic
  • Explore Regression using Excel
  • Factor Analysis
  • Introduction to PCA
  • Association Rule mining
  • Market basket analysis