This Training is a great blend of industry relevant Data Analytics and Technology, making it quite apt for aspirants who want to develop Data Analytics skills and head Start in Data Science. It aims at bringing together several key information technologies used in manipulating, storing, and analyzing data. 

After Completion of this training: 

 Gain exposure to key disciplines and skills needed to fulfill the role of a business analyst /predictive modeler/data analyst / data scientist 

 Build predictive models using linear, logistic regression and decision trees. 

 Build machine learning models using Neural nets, SVM and Random forest 

Tools covered:

R, R-studio, Anaconda for python, Spotfire

R Programming, Data Handling and Basic Statistics

Project-1 - Data Exploration, Validation and Cleaning Project

Regression Analysis & Logistic Regression Model Building

Decision Trees & Model Selection

Project2 -Predictive Modelling Project

Neural Network, SVM and Random Forest

Project3- Machine Learning Project

Data Exploration and Data Cleaning

Introduction Analytics Tool(R) 

Data Handling in R

Basic Descriptive Statistics

Reporting and Data Validation

Machine Learning and Deep learning 

Regression Analysis 

Logistic Regression 

Decision Trees 

Model Selection and cross validation 

Neural Network 

SVM

Random forest and Boosting 

R, R-Studio, Python, Azure, Machine- Learning, Spotfire, ZoomData.

Rich materials will be provided on all the topics.