Course Name: Business Analytics & Text Mining Modeling Using Python

Course abstract

Objective of this course is to impart knowledge on use of text mining techniques for deriving business intelligence to achieve organizational goals. Use of Python based software platform to build, assess, and compare models based on real datasets and cases with an easy-to-follow learning curve.


Course Instructor

Media Object

Prof. Gaurav Dixit

Dr. Gaurav Dixit is an Assistant Professor in the Department of Management Studies at the Indian Institute of Technology Roorkee. He earned his doctoral degree from the Indian Institute of Management Indore and an engineering degree from Indian Institute of Technology (BHU) Varanasi. Previously, he worked in Hewlett-Packard (HP) as software engineer, and Sharda Group of Institutions as project manager on deputation. Gaurav’s research focuses on information technology (IT) strategy, electronic commerce, electronic waste, data mining, and big data analytics and provides insights on business and social value of IT. His research has appeared in quality journals & conferences, including Resources, Conservation and Recycling, Journal of Global Information Technology Management, Sustainable Production and Consumption, Journal of Information Technology Management, DIGITS conference, India Finance Conference, Indian Academy of Management conference, and Academy of Management conference.
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Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Sep-Nov 2020

  View Course

 Enrollment : 20-May-2020 to 21-Sep-2020

 Exam registration : 14-Sep-2020 to 02-Nov-2020

 Exam Date : 18-Dec-2020

Enrolled

5806

Registered

257

Certificate Eligible

220

Certified Category Count

Gold

59

Silver

134

Elite

21

Successfully completed

6

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
Business Analytics & Text Mining Modeling Using Python - Toppers list
Top 1 % of Certified Candidates

DEVANSH MISHRA 96%

DR. VISHWANATH KARAD MIT WORLD PEACE UNIVERSITY, PUNE

MOTURI SRIHITHA 94%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

P SREEVARSH VASISTA 94%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

MAHIMA MALIK 94%

INDIRA GANDHI DELHI TECHNICAL UNIVERSITY FOR WOMEN

AKINAPURAM AMULYA 94%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

CHITTAM CHANAKYA BHARATH REDDY 94%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY


Top 2 % of Certified Candidates

Top 5 % of Certified Candidates

NEELAM YASHWANTH SAI 93%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

PETLOJU JOSHNA 93%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

PAMARTHI LASYA 93%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

SAI SHASHANK PAIDIPELLY 93%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

S PRIYANKA RAJ 93%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

SONATHI VISHALAKSHI 93%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

MEDHA GITAY 93%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

REVATI RAJESH PAWAR 93%

DR. VISHWANATH KARAD MIT WORLD PEACE UNIVERSITY, PUNE

PRASHANT YADAV 93%

Tangoe

PALEPU SAI HARSHITHA 93%

KESHAV MEMORIAL INSTITUTE OF TECHNOLOGY (KMIT)

Enrollment Statistics

Total Enrollment: 5806

Registration Statistics

Total Registration : 257

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.