Course Hive
Search

Welcome

Sign in or create your account

Continue with Google
or
W6_T6: Tutorial 6
Play lesson

Mathematics for Data Science 1 - W6_T6: Tutorial 6

4.0 (1)
19 learners

What you'll learn

This course includes

  • 48 hours of video
  • Certificate of completion
  • Access on mobile and TV

Summary

Full Transcript

Welcome to Week 6 Tutorial 6 of the course "Mathematics for Data Science I" by Profs. Neelesh Upadhye, Madhavan Mukund. Full Course: https://study.iitm.ac.in/ds/course_pages/BSMA1001.html Video Overview In this tutorial, we calculate profit using polynomial functions. The total revenue of a product is modeled as a polynomial, while costs such as purchase, transportation, and miscellaneous expenses are represented by separate polynomials. By subtracting the cost polynomials from the revenue polynomial, we derive a simplified profit polynomial. The final expression shows profit (in lakhs) as a function of the number of years since 2000, demonstrating how algebraic methods can be applied to real-world business math. About IIT Madras' online Bachelor of Science programme IIT Madras offers four-year BS programmes that aim to provide quality education to all, irrespective of age, educational background, or location. The BS programme has multiple levels, which provide flexibility to students to exit at any of these levels. Depending on the courses completed and credits earned, the learner can receive a Foundation Certificate from IITM CODE (Centre for Outreach and Digital Education), Diploma(s) from IIT Madras, or BSc/BS Degrees from IIT Madras. For more details, Visit: https://www.iitm.ac.in/academics/study-at-iitm/non-campus-bs-programmes #profitcalculation #polynomials #revenue #costanalysis #algebra #mathematics #businessmath #equation #profit #math #years #lakhs #datasciencemath #iitmadras #onlinestudy

Course Hive

Continue this lesson in the app

Install CourseHive on Android or iOS to keep learning while you move.

Related Courses

FAQs

Course Hive
Download CourseHive
Keep learning anywhere