Course Name: Practitioners Course in Descriptive, Predictive and Prescriptive Analytics

Course abstract

Data analytics is a demanding field and industry is looking for potential employees who are having a practitioners approach to data analytics. This course is aimed at providing exposure to various tools and techniques along with relevant exposure to appropriate problems so that the know-how and do-how aspect of analytics, which is required by industry can be fulfilled. The course also aims at introducing various applications with the involvement of real-life practitioners so that appropriate exposure to audience who intend to build a career in this area is possible.


Course Instructor

Media Object

Prof. Deepu Philip

Prof. Deepu Philip is a faculty of Industrial & Management Engg. Department of IIT Kanpur. His research focuses on Production and Operations Management, Systems Engineering and Simulation, Product Life Cycle Management (PLM), and Unmanned Aerial Systems (UAS). He holds bachelor degree in Industrial Engineering with his doctorate in Industrial & Management Engineering from MSU Bozeman. He has both academic and industrial experience with leading organizations of the world. He has experience in designing and implementing complex system of systems in different fields including defense, aviation, transportation, banking, automation, health care, energy, communication, and decision making. He is currently guiding three doctoral students and have guided 14 masters students.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Aug-Oct 2019
  View Course
 Syllabus
 Enrollment : 15-May-2019 to 26-Aug-2019
 Exam registration : 01-Jun-2019 to 30-Sep-2019
 Exam Date : 16-Nov-2019, 16-Nov-2019

Enrolled

1387

Registered

119

Certificate Eligible

82

Certified Category Count

Gold

1

Silver

16

Elite

42

Successfully completed

23

Participation

8

Success

Elite

Silver

Gold




Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment score
Practitioners Course in Descriptive, Predictive and Prescriptive Analytics - Toppers list

PAVAN KUMAR S 90%

Ericsson India Global Services Pvt Ltd

JEET INANI 85%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

CHAITANYA D SANGWAI 85%

Cinansys

MRIDUL BHARDWAJ 84%

DBOI

DR ARKAPRABHA SAU 84%

MAULANA ABUL KALAM AZAD UNIVERSITY OF TECHNOLOGY, WEST BENGAL

Enrollment Statistics

Total Enrollment: 1387

Registration Statistics

Total Registration : 119

Assignment Statistics



Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.