Foundation of Data Science

By Dinesh Kumar | Indian Institute of Management Bangalore (IIMB)

Learners enrolled: 24892

"At the end of this course, you will be able to:

Describe the role of probability theory, optimization and linear algebra in the field of Artificial Intelligence.

Define probability distributions such as binomial and normal and its applications in ML model development.

Conduct hypothesis tests such as Z test and t-test and how it is used in ML Model development.
Explain optimization and linear algebra concepts and their applications in ML and AI.

Conduct hypothesis testing, optimization and linear algebra using Excel."

Summary

Course Status :	Completed
Course Type :	Core
Duration :	8 weeks
Category :	Management Studies
Credit Points :	2
Level :	Postgraduate
Start Date :	31 Jul 2023
End Date :	31 Oct 2023
Enrollment Ends :	09 Sep 2023
Exam Date :	30 Nov 2023 IST

Note: This exam date is subjected to change based on seat availability. You can check final exam date on your hall ticket.

Page Visits

Course layout

Week 1: Descriptive Statistics and Data Visualization

Week 2: Probability Theory

Week 3: Sampling and Estimation

Week 4: Confidence Intervals

Week 5: Hypothesis Testing

Week 6: Analysis of Variance

Week 7: Correlation Analysis

Week 8: Applied Linear Algebra

Click here for Syllabus

Books and references

None

Instructor bio

Dinesh Kumar

Indian Institute of Management Bangalore (IIMB)

Professor Dinesh Kumar is a professor of Quantitative Methods and Information Systems at the Indian Institute of Management Bangalore. Recognized as one of the Top 10 Most Prominent Analytic Academicians in India, Professor Dinesh is the course director of Business Analytics and Intelligence Executive Education Programme conducted by IIM Bangalore. His main research and teaching interest are Business Analytics and Systems Engineering. He has published a number of case studies at the Harvard Business Publishing on the use of predictive and prescriptive analytics by the Indian companies, and authored more than 70 research articles and 2 books.

Course certificate

Enrolling and learning from the course is free. However, if you wish to obtain a certificate, you must register and take the proctored exam in person at one of the designated exam centre’s. The registration URL will be announced when the registration form is open. To obtain the certification, you need to fill out the online registration form and pay the exam fee. More details will be provided when the exam registration form is published, including any potential changes. For further information on the exam locations and the conditions associated with filling out the form, please refer to the form.

Grading Policy:

Assessment Type	Weightage
Mid-Term & End-Term	25%
Final Exam	75%

Certificate Eligibility:

40% marks and above in Mid Term & End Term
40% marks and above in the final proctored exam

Score	Type of Certificate
>=90	Gold
75 - 89	Silver
70 - 74	Bronze
40 - 70	Successfully Completed
<40	No Certificate

Sample Certificate:

Disclaimer: In order to be eligible for the certificate, you must register for enrolment and exams using the same email ID. If different email IDs are used, you will not be considered eligible for the certificate.

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