Offered By in collaboration with

Course Details

Course Commencement
January 2023 (Tentative)
Course Completion
June 2023 (Tentative)
Language
English
Exam Dates
Multiple slots in June 2023 (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 - Computer Science Engineering and Information Technology, Electronics and Communication Engineering, Mechanical Engineering
Semester -
5 th,  6 th,  7 th  and  8 th

Course Summary

Data generation is growing at a significant rate and is used by enterprises for gathering new insights, better decision-making and improving business processes. Hence, the creation of practitioners and researchers with industry knowledge of advanced concepts of data analytics is the need of the day.

According to a report published by Allied Market Research, the global big data and business analytics market size was valued at US$171.39 billion in 2018, and is projected to reach US$512.04 billion by 2026, growing at a Compound Annual Growth Rate (CAGR) of 14.80% from 2019 to 2026.

Big Data Analytics - Advanced course will provide the understanding of data analytics concepts, hands-on training on various tools and frameworks in data analytics, experience in developing real-world applications and deploying them in public cloud.

Hands-On

Students need to perform hands-on assignments using AWS Cloud environment.

The above mentioned hands-on configuration will be leveraged by the students to complete the industry assignment as well as to complete Part B of the summative assessment.

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RECOMMENDED PRIOR KNOWLEDGE
  1. Knowledge of Database Management System (DBMS)
  2. Basic knowledge of Statistics

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~!