Internship/Project

Paper Code: 
DAC 334
Credits: 
10
Max. Marks: 
100.00
Objective: 

Learning outcome (at course level)

Learning and teaching strategies

Assessment Strategies

   

students will be able to:
 

  1. Familiarize with the trends and technologies in data analysis under the guidance of experienced professionals.
  2. Understand the existing working environment and acquire an in-depth technical knowledge of the domain.
  3. practical knowledge upon competencies in multiple areas—programming, statistics, data analytics, machine learning, data visualization.
  4. Increase marketability in the fast-paced Data Science industry

Approach in teaching:

Demonstrations, Professional approach on working on live projects, Group activities

 

Learning activities for the students:

Effective assignments, giving tasks, assign mini projects in house.

 

Assessment Strategies

Individual and group projects

project viva and presentations, live presentations.

 

At the end, students will undergo training of 150 hrs on data analysis project either in-house or external. This will help them in understanding the existing working environment and acquire an in-depth technical knowledge of the domain. The students shall prepare a report on the work done. The student will be required to get the certificate from the concerned organization signed by the project guide, which has to be put in the report.

 

Academic Year: 
2020-21
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