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

Dr.Deepu Philip

Deepu Philip is a faculty of Industrial & Management Engg. Department and Design Programme of IIT Kanpur. He works in the area of Production and Operations, Systems Simulation, Product Life Cycle Management, Unmanned Aerial Systems, and Systems Engineering. 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, fertilizer, strategic chemical plants, transportation, banking, automation, health care, energy, and communication.


Teaching Assistant(s)

PRABAL PRATAP SINGH

PhD, Industrial & Management Engineering

Suman Samanta

PhD, Industrial and Management Engineering

 Course Duration : Feb-Mar 2018
  View Course
 Enrollment : 20-Nov-2017 to 05-Feb-2018
 Exam registration : 08-Jan-2018 to 07-Mar-2018
 Exam Date : 28-Apr-2018

Enrolled

1182

Registered

117

Certificate Eligible

92

Certified Category Count

Gold

12

Silver

0

Elite

65

Successfully completed

15

Participation

0

Success

Elite

Gold




Legend

>=90 - Elite + Gold
60-89 - Elite
40-59 - Successfully Completed
<40 - No Certificate

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

SHAIK MOHAMMAD ABDULLAH 95%

NOAH DATA

SHUBHAM GOSWAMI 94%

INDRAPRASTHA INSTITUTE OF INFORMATION TECHNOLOGY

PRAVEEN KUMAR SANJEEVA RAYAN 92%

EXPLORING JOB SHIFT TO ANALYTICS

NIMIT DHALIA 92%

IIT ROORKEE

AKONDI SRIKANTH 91%

KL UNIVERSITY

AMAL PRAKASH K 91%

Farook college

Enrollment Statistics

Total Enrollment: 1182

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Assignment Statistics



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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.