VISION

To be the centre of excellence in Data Analytics for encouraging inquisitiveness & curiosity in students and to prepare students to be experts in solving business problems to help business executives in decision making, by getting well-versed with well-known data analytics tools and techniques.

MISSION

• To prepare students to be Data Analytics experts.
• In solving business problem.
• To help business executives in decision making.
• Data analytics tools and techniques.
Training and mentoring students on popular analytical tools which is an add-on to their CVs to make high calibre and work-ready data analytics graduates.

TRAINING PLATFORMS

In each semester students are made to enroll for an online course to fade-out the gap between the industrial requirement and syllabus in their academic curriculum. Students have completed online courses on various platforms like: Coursera, NPTEL, SoloLearn, Cursa.

Student Certificates: Read more...






OVERVIEW


Big data can be applied to real-time fraud detection, complex competitive analysis, call centre optimization, consumer sentiment analysis, intelligent traffic management, and to manage smart power grids, to name only a few applications.

Big data is characterized by three primary factors: volume (too much data to handle easily); velocity (the speed of data flowing in and out makes it difficult to analyze); and variety (the range and type of data sources are too great to assimilate).

With the right analytics, big data can deliver richer insight since it draws from multiple sources and transactions to uncover hidden patterns and relationships. Read more...

 

Here to Help Students Grow



Enriching lives of students and being a support system and guiding them throught the course. We also prepare the students for Hackathons and encourage them to participate in various events and competitions. Projects are assigned to CoE-registered students and take up consultancy projects.

Dr. Neha Mangla

Associate Professor
Dept. of ISE

Python Programming
Machine Learning

Abhilash

Associate Professor
Dept. of ISE

Big Data and its Significance
Machine Learning

Ms. Syeda Roshni Ahmed

Associate Professor
Dept. of ISE

Data Mining
Data Warehousing





Data Analytics Club Members


Students of CoE would take up ISE department result dataset and draw useful insights to improve the functionality and performance of the department. (In Summer Vacation at ATRIA Campus). CoE students would give hands-on sessions on data analytics and analysis to students who are part of other CoEs.

AMILIO MATHEW DSOUZA (1AT18IS122) VACHAN HONNUDIKE (1AT18IS109) ANAND SHANKAR (1AT18IS008) CHINMAYEE M S (1AT18IS022) BELINDA SHARYL BENJAMIN (1AT18IS016) SUJATHA M (1AT18IS103) M V SUHAS (1AT18IS046) MAHAVEER SINGH (1AT18IS047) AMRUTA ASHOK NAIK (1AT18IS004) MANJUNATH D (1AT18IS050)

Our Gallery


PHOTOS