Data Science Online Training
i-Edge Solution 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. i-Edge Solution 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