Retour à Algebra and Differential Calculus for Data Science
Avis et commentaires pour d'étudiants pour Algebra and Differential Calculus for Data Science par Université du Colorado à Boulder
15 évaluations
À propos du cours
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions.
This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program.
Logo courtesy of ThisisEngineering RAEng on Unsplash.com
Meilleurs avis
Filtrer par :
1 - 5 sur 5 Avis pour Algebra and Differential Calculus for Data Science
par David G
•19 mai 2022
Excellent introduction and review for those of us who took these courses some years ago! Really appreciated the clear teaching, which is so important for learrning math.
par Jolanta C
•20 mai 2022
Great course, highly recommended
par Anson H
•18 avr. 2022
a good start and review
par Cor v H
•4 mai 2022
Quizes are flawed, i.e. software doesn't recognize right answers.
par LM
•17 mai 2022
There are significant issues with the quizzes in this course.
Coursera Footer
© 2022 Coursera Inc. Tous droits réservés.
