Objective

• To bring together students interested in data science to focus on Techniques and Methods in Data Analytics.
• To offer students a platform to learn, shape and bridge them together with industry experts as well as allow them to engage in hands-on and interdisciplinary projects.
• To discuss on best practices in the use of Data Analytics.

Activities:

• Analytics Summit will be conducted to deliver keynote lectures by Industry Experts on the latest trending topics in the field of IT and Analytics.
• Organize peer learning sessions on Python or R to assist students in the field of IT & Analytics.
• Organize Technical Trainings related to R, Python, Tableau and Machine Learning.
• Conduct Hackathons related to Data Analytics

Chairman 

Principal 

Member Secretary / Coordinator

Dr.B.Gomathi, Asst. Prof./IT

Members (Teachers)

1.Mrs.P.Anitha, Asst. Prof./IT

2.Mrs.J.Uma, Asst. Prof./IT

3.Mr.N.Ilayaraja, Asst. Prof./IT

4.Mrs.T.Sakthi Sree, Asst. Prof./IT

5.Mr.M.Sathish Kumar, Asst. Prof./IT

6.Dr.R.Poornima, Asst. Prof./Maths

7.Mrs.P.Divya, Asst. Prof./CSE

8.Mrs.P.Preethi, Asst. Prof./CSE

Members (Students)

1. Ashwin G 17110013 / IT
2. Vasanth.V.P                 17110092 / IT
3. Ruban Kumar B 18110074 / IT
4. Riyagencika P 18110073 / IT
5. Saranya S 18110081 / IT
6. Lakshmana Kumar G 19110048 / IT
7. Varsha C    19110099 / IT
8. Rajkumar G 18104107 / CSE
9. Aadil Fayas.P 18104001 / CSE
10. Varsni.S             18104147 / CSE

Total Student Members : 100

ACTIVITIES TILL DATE:

EVENT 1: 

TITLE: “Tech Talk of the Club on Data Analytics and its Importance in the Industry”

DATE: 12.11.2020

RESOURCE PERSON: Mr. K.S.Siddesh Ram

Director – Human Resources & Operations

Aug Ray, Chennai.

VENUE: Through Online Mode

OUTCOMES OF THE EVENT :

1. Acquired information about the various career options for the students in the field of Data Analytics.
2. Awareness on Data Analytics and its importance in the Industry, Advancement in the World of Technology and IT Industry.

• Know resources and tools to help with good data visualization.
• Understand best practices for how and when to use data visualization. 
• Be able to apply what they learned to better understand and use their Project Outcome data.