Offered By in collaboration with

offer
INSTITUTIONAL BUNDLE OFFER PER STUDENT
elective1
Course 1 ₹ 17,000/-
+
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

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 analysis is the need of the hour. Data is nowadays considered as a fuel to develop different machine learning/statistical algorithms. According to Grand View Research, the global data analytics outsourcing market size was valued at $2,006 million in 2017 and is expected to grow at a Compound Annual Growth Rate (CAGR) exceeding 22.8% from 2018 to 2025.

The Data Analytics and Reporting course provides students with an introduction to data, the various steps involved in data preprocessing, and the tools used to analyse data. The course has two important objectives: (1) the use of tools and techniques to analyse data properties; (2) to extract relevant information from data and use different ways of reporting data. Data analysis is the cornerstone for any predictive analytics wherein the steps involved in getting clean model development data consume almost 90% of the entire project effort. This course helps students to derive insights from the data based on machine learning models and create reports.

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. Basic knowledge of programming and Data Structures Algorithms

2. Basic knowledge of Mathematics and 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
Digital course accessible anytime and anywhere View Sample
Digital
Lectures
Digital 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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Have a Question?

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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.