Course Name: Data Analytics with Python

Course abstract

We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their career and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models; we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course!


Course Instructor

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Prof. A Ramesh

Ramesh Anbanandam graduated in Production Engineering from Madras University, Chennai. He did his post-graduation from National Institute of Technology, Trichy. He later earned his Ph.D. in Supply Chain Management from Indian Institute of Technology Delhi. His professional interest includes Humanitarian Supply Chain Management, Operations Management, Operations Research, Healthcare Waste Management, Sustainable Multi-model and Freight Transportation, Transportation Asset Management and Advanced Data Analytics using Python and R- programming. He has guided Ph.D. thesis in the area of Humanitarian Supply Chain Management, Healthcare waste management, and Reverse Logistics. He has published various research articles in reputed journals. He was also awarded Emerald Literati Award for Excellence under “Highly Commended Research Paper in the Year 2011 and 2016” in the field of Supply Chain Management.
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Teaching Assistant(s)

Shaurya Mall

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Umabharati Rawat

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 Course Duration : Jan-Apr 2020

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 Syllabus

 Enrollment : 18-Nov-2019 to 03-Feb-2020

 Exam registration : 16-Dec-2019 to 20-Mar-2020

 Exam Date : 25-Apr-2020

Enrolled

29374

Registered

Certificate Eligible

Will be announced

Certified Category Count

Gold

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Elite

Will be announced

Successfully completed

Will be announced

Participation

Will be announced

Success

Elite

Gold





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Final Score Calculation Logic

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Enrollment Statistics

Total Enrollment: 29374

Registration Statistics

Total Registration : 3330

Assignment Statistics




Assignment Score

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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.