Offered By in collaboration with

offer
INSTITUTIONAL BUNDLE OFFER PER STUDENT
elective1
Course 1 ₹ 17,000/-
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elective
Course 2 ₹ 17,000/-
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elective
Course 3 ₹ 17,000/-
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elective
Course 4 ₹ 17,000/-
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Choose any 4 courses
Total Price
₹ 68,000/-
Offer Price
₹ 42,000/-
Offer available only for Institutions

Course Details

Course Commencement
January 2020
Course Completion
May 2020
Language
English
Exam Dates
Multiple slots in May 2020
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 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) by 2020, India will face a shortfall of 2,00,000 analytic data experts.

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.

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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 multimodal digital content, live lectures, community based digital classrooms as applicable.
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Course Components

Digital Content in
Multimodal Format
Digital course accessible anytime and anywhere View Sample
Digital
Lectures
Live lectures delivered by industry and academic experts View Sample
Academic Connect
Community
Focussed on building conceptual clarity View Sample
Industry Connect
Community
Focussed on building industry oriented applied knowledge View Sample
Industry
Assignment
Access to two industry related mini projects View Sample
Practice
Assessment
Access to two practice assessments for self-evaluation View Sample
Summative
Assessment
Test of theoretical and applied knowledge View Sample
Verifiable Digital
Certificate
Verifiable certificate on successful completion View Sample
Internship
Opportunity
For top percentile, subject to vacancies in corporates and their hiring policies View Sample
Job
Opportunity
Visibility to job vacancies with leading corporate recruiters, subject to vacancies and their hiring policies View Sample

Available Locations

!~StateCity~!
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FAQs

1. How will this programme help students in building their proficiency? +
  • This programme is envisaged to help build a strong foundation across various streams through digital lectures, practice and summative assessments, mini projects, mentorship from renowned industry and academic experts. Students will also get an opportunity to showcase their skills to potential recruiters.