Computer Applications

Nowadays, with the revolution in the technology, companies are demanding technically sound professionals who can handle and safeguard the business processes efficiently. This domain has immense job opportunities as it involves various existing and emerging technologies such as AI, ML, Data Analytics, and so on. Following are some of the important skill development courses available for the students from the Computer Applications domain:

Business Analytics

Business Analytics gives insights to make informed business decisions and automate & optimize business processes. It is the combination of skills, technologies, applications, and processes used by organizations to gain insight into their business based on data and statistics to drive business planning.

How we train?

Students are taught to become a successful professionals with in-depth knowledge on Artificial Intelligence (AI), Data Quality, Data Analytics, Statistical Methods, Data Visualization Models, and much more to measure past performance to guide an organization's business planning, using advanced analytical tools like R, Tableau, SAP, PYTHON, SPSS, MS-Excel and more.

Full-Stack Development

Full-stack developers are extensively trained in front-end, middleware, and back-end technology skills along with phase-end and capstone projects based on real business scenarios.

How we train?

Students are trained in fundamentals of Computer Science, Software Development processes, building robust and scalable Websites, backend APIs, rich and interactive Web UI. This program will enlighten the students on all aspects of development by providing training on an end-to-end application, test and deploy code, store data using various databases, and much more.

Data Analytics

Data Analysts are responsible for data accuracy, data compilation, data modeling, and data visualization to develop business strategies. They create models to acquire new business insights by analyzing data and running tests.

How we train?

Students are trained in Analytics, Modeling, Data Visualization, and more that develop their critical thinking, analytical, and programming skills. They are able to split complex data into small data portions and use charts/bar graphs/pie charts to gather insights. The program also focuses on sharpening students’ business acumen for better decision-making.

Machine Learning

Machine Learning is an integral part of AI, where systems use and analyze data to solve problems with minor human interference.

How we train?

Machine Learning Engineers should have good quantitative and statistical skills. During the training in NEST Skill Development program, students will develop deeper insights into important concepts of computer science, learn data analysis, visualization & mining, understand feature engineering and metrics of ML. They learn ML algorithm selection, how to check the sustainability of algorithms, and so on.

Database Administration

Database Administration involves management, backing up, handling the availability of the computer databases. It is required in financial firms, software companies, consultancies, hospitals, government firms, and so on.

How we train?

Students are trained in database technology, database management, operating systems. They work with database software such as Cassandra, MongoDB, and more to learn the various aspects of Database. They are taught how to manage backup procedures, archive data, test and modify databases.

Software Development

Software Developers invent various products of technology. Software Development is a phenomenon in the Computer Science field. It involves creating, developing, and executing software programs and is one of the core domain for any student from the Computer Applications background.

How we train?

The NEST Skill Development program trains students in C, C++, Java, Python, R, writing and testing code, working collaboratively for projects, issue management systems, and other domain-related tools. It prepares them to work for financial services firms, technological consulting companies, banks, and the public sector.