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

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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.
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Prof. Amandeep Singh

Dr. Amandeep Singh is working asResearch Scientist in the Mechanical Engineering Department, and Design Program, Indian Institute of Technology, Kanpur, India. He holds PhD degree from Indian Institute of Technology Kanpur, India, and a bachelor degree in Production Engineering. Dr. Singh has ten years of industrial and academic experience. His research interests are Sustainable Manufacturing Processes and Systems, Simulation of Manufacturing Systems, Product Design and Manufacturing, Applied Ergonomics and Engineering Metrology. He has traveled in countries like US, Canada, and Australia to present his research in various international conferences organized by reputed bodies like CIRP and IEOM. His research is also published in various international reputed journals.
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Prof. Sanjeev Newar

Mr. Sanjeev Newar is the CEO of 4Front Analytics and is a graduate from IIT Guwhati and IIM Calcutta. He works in the field of analytics, especially on financial and risk analytics. The solutions developed by his organization were listed in the top 10 solutions of the CIO review magazine, and the only solution from India to make into the list. His expertise in the area of banking and finance sector, analytics, fraud detection, and Anti Money Laundering systems will help in providing a practitioners flavor to the course.

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Aug-Oct 2021

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 Syllabus

 Enrollment : 20-May-2021 to 23-Aug-2021

 Exam registration : 17-Jun-2021 to 17-Sep-2021

 Exam Date : 24-Oct-2021

Enrolled

984

Registered

69

Certificate Eligible

37

Certified Category Count

Gold

6

Silver

12

Elite

14

Successfully completed

5

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

PIYUSH 94%

PDIL

NIVIDA JAIN 94%

Guru Gobind Singh Indraprastha University(USMS)

Enrollment Statistics

Total Enrollment: 984

Registration Statistics

Total Registration : 69

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.