TCS iON Industry Honour Course - Practical Approach to Data Mining and Analytics

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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

Data Mining is a systematic and sequential process of identifying and discovering hidden patterns and information in a large dataset. On the other hand, Data Analysis is a superset of Data Mining. It involves extracting, cleansing, transforming, modelling, and visualisation of data to uncover meaningful and useful information that can help in taking decisions. As per TeamLease Services (a staffing arrangements company) India will face a shortfall of 2,00,000 analytic data experts in coming years.

Practical Approach to Data Mining and Analytics lays the foundation of the basic and advanced concepts of data mining and data analytics supported with latest industry relevant business case studies. Students can learn data mining skills, tools and techniques in analytics, statistics and programming. This course demonstrates the usage of raw data in the data mining process, various visualisation techniques, and teaches students to perform analysis and interpretation of data.

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
1. Mathematics
  • Linear Algebra
  • Calculus: Differentiation, Partial Derivatives and Gradient
  • Statistics: Normal Distribution, Probability
2. Basic Programming in Python

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
Practice
Assessment
Access to two practice assessments for self-evaluation 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~!