The aim of this course is to expose the learner to different programming languages and libraries related to business analytics domain.
This course is specially designed to empower learners with relevant knowledge on the tools required for performing business analytics. The program provides an in-depth understanding of the working of key tools for business analytics including SAS, R Programming and Orange.
- To learn data management with SAS
- To understand applications of R Programming and implementation of statistical methods using R Programming for data analysis
- To implement some of the statistical analysis using Orange
- SAS
- Orange
- ggplot
- R programming
- Data Analysis
Area of Expertise:
Cloud transformation projects, Incubation of new practices, IPs account management, Service delivery, transition, Presale-solution, Service portfolio, Technical support, Consulting, Talent transformation
Area of Expertise:
Cloud transformation projects, Incubation of new practices, IPs account management, Service delivery, transition, Presale-solution, Service portfolio, Technical support, Consulting, Talent transformation
Area of Expertise:
Solution design, Project consultation, IT infrastructure and applications
Area of Expertise:
RDBMS, Data Science, Data Science
Area of Expertise:
Network Security, Cyber Security, IT Infrastructure
Area of Expertise:
Python, Java, C++, UI Development & Graphics Design
Area of Expertise:
Python, Artificial Intelligence, Data Science
Area of Expertise:
Cloud Infrastructure, Artificial Intelligence, Data Science
Area of Expertise:
UI/UX Design, Front-End Development, Python Web Development
Area of Expertise:
Microservices, REST API, Asp.net core, C#, Docker, DevOps with Azure, Angular, React, MS-SQL Server, MongoDB
Area of Expertise:
Java and Spring Boot, Microservices and RestAPI with Java, Python and Django, RestAPI with Python
Area of Expertise:
Microservices, REST API, Asp.net core, C#, Docker, DevOps with Azure, Angular, MS-SQL Server, MongoDB