TCS iON Industry Honour Course - Data Modeling and Visualization

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Course Details

Course Commencement
August 2023 (Tentative)
Course Completion
January 2024 (Tentative)
Language
English
Exam Dates
Multiple slots in January 2024 (Tentative)
Credits & LTP
Each course offers 5 credit points.
Lecture
3
Tutorial
1
Practical (Hands-on)
1
Credit
5
Recommended For:
Graduation Programme - B.E./B.Tech
Branch - Applicable across all engineering branches
Semester -
5 th,  6 th,  7 th  and  8 th

Course Summary

The rate of data generation has grown significantly in the past decade. This data can be effectively used to solve various data analytics problems with the proper use of data modeling and visualization techniques. With this objective in mind, the course deals with selected data modeling and data visualization techniques applying some commonly used tools.

According to a report from Business Wire, the global data visualization market is expected to display a positive market trend in the forecast period from 2019 to 2027, exhibiting a growth rate of 9%. Besides, the rising demand for data visualization tools in the BFSI sector presents further opportunities for market growth. Asia-Pacific is anticipated to be the fastest growing region in the global market during this forecast period.

The Data Modeling and Visualization course provides the basic framework for performing data analysis using some fundamental data modeling and data visualization techniques. The course also introduces R as a programming language, where students learn to deal with data analysis problems in a structured framework. Moreover, they will gain experience on framing a basic comprehensive solution to a data analysis problem.

Hands-On

A virtual hands-on environment is integrated within the course.

Students will have to leverage this environment to complete the industry assignment as well as to complete the Part B section of the summative assessment.

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RECOMMENDED PRIOR KNOWLEDGE
Basic knowledge of programming fundamentals

Course Syllabus

The course syllabus will be delivered through a combination of eLearning resources, digital lectures, community based digital classrooms as applicable.
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RELATED COURSES
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Course Components

Digital Learning
Resources
Courses to consist of enriching eLearning resources View Sample
Digital
Lectures
Multiple digital lectures delivered by a renowned academician and an industry expert, through the entire duration of a course View Sample
Academic Connect
Community
Moderated by an academic expert with a focus on building conceptual clarity View Sample
Industry Connect
Community
Moderated by an industry expert with a focus on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to industry related mini projects to enable practical exposure for candidates View Sample
Periodic Formative
Assessment
Access to three periodic formative assessments during the course View Sample
Summative Assessment
/TCS NQT
Candidates to appear for either summative assessments consisting of two parts - Test of Knowledge and Test of Application or TCS NQT View Sample
Verifiable Digital
Certificate
Successful candidates to receive a digital certificate, verifiable through online platforms View Sample
Internship
Opportunity
Internship opportunity for toppers in the respective courses, subject to vacancies in corporates and their hiring policies View Sample
Job
Visibility
Get visibility to job vacancies with leading corporate recruiters that recognise the TCS NQT certification, subject to vacancies in corporates and their hiring policies View Sample

Testimonials

!~Testimonials~!