Data Science Online Training

Course Details:
Getting Started with Github
Introduction to Git
Introduction to Github
Creating a Github Repository
Basic Git Commands
Basic Markdown

Getting Started with R
Overview of R
R data types and Objects
Getting Data In and Out of R
Subsetting R Objects
Dates and Times

Getting Started with R
Control structures
Functions
Scoping rules of R
Coding Standards for R
Dates and times

Getting Started with R
Loop Functions
Vectorizing a Function
Debugging
Profiling R Code
Simulation

Data Extraction, Preparation and Manipulation ( R, MYSQL, HDFS, HIVE and SQOOP
Data Extraction
Downloading Files
Reading Local Files
Reading Excel Files
Reading JSON
Reading XML
Reading From WEB
Reading From API

Data Extraction
Reading From HDFS
Reading From MYSQL
SQOOP
Reading FROM HIVE
Saving and Transporting Object
Reading Complex Structure

Data Preparation
Subsetting and Sorting
Summarizing Data
Creating New Variable
Regular Expression
Working With Dates

Data Manipulation
Managing DataFrame with dplyr package
Reshaping Data
Merging Data

Descriptive Statistics
Univariate Data and Bivariate Data
Categorical and Numerical Data
Frequency Histogram and Bar Charts
Summarizing Statistical Data
Box Plot, Scatter Plot, Bar Plot, Pie Chart

Probability
Conditional Probability
Bayes Rule
Probability Distribution
Correlation vs Causation
Average
Variance
Outliers
Statistical Distribution
Binomial Distribution
Central Limit Theorem
Normal Distribution
68-95-99.7 % Rule
Relationship Between Binomial and Normal Distribution

Hypothesis Testing
Hypothesis Testing
Case Studies

Inferential Statistics
Testing of Hypothesis
Level of Significance
Comparison Between Sample Mean and Population Mean
z- Test
t- Test

ANOVA (f- Test)
ANCOVA
MANOVA
MANCOVA

Regression and Correlation
Regression
Correlation
CHI-SQUARE
Principal Of Analytic Graph

Introduction to ggvis
Exploratory and Explainatory
Design Principle
Load ggvis and start to explore
Plotting System in R
ggvis - graphics grammar

Lines and Syntax
Properties for Lines
Properties for Points
Display Model Fits

Transformations
ggvis and dplyr

HTML WIDGET
Geo-Spatial Map
Time Series Chart
Network Node

Predictive Models and Machine Learning Algorithm - Supervised Regression
Regression Analysis
Linear Regression
Non- Linear Regression
Polynomial Regression
Curvilinear Regression

Multiple Linear Regression
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Logistic Regression
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance
Time Series Forecast

Predictive Models and Machine Learning Algorithm - Supervised Classification
Naïve Bayes
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Support Vector Machine
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Random Forest
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

K- Nearest Neighbors
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Classification and Regression Tree (CART)
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Predictive Models and Machine Learning Algorithm - Unsupervised
K Mean Cluster
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Apriori Algorithm
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Case Study : Customer Analytic - Customer Lifetime Value
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Text Mining, Natural Language Processing and Social Network Analysis
Natural Language Processing
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Social Network Analysis
Collect Data
Explore and Prepare the data
Train a model on the data
Evaluate Model Performance
Improve Model Performance

Capstone Project
Saving R Script
Scheduling R Script

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SBR trainers assist in developing Real time experience of the required course and also improving interview skills, knowledge, communication, content of the course, innovative project ideas, future scope etc,. This makes our students are becoming future experts and working as professionals in top rated companies.

1. The classes can be attended to at any place and any time as per your choice Use your laptop, desktop, Android and iOS App to learn on the go
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