Retour à Data Science Math Skills

## Avis et commentaires pour d'étudiants pour Data Science Math Skills par Université Duke

4.5
étoiles
10,834 évaluations

## À propos du cours

Data science courses contain math—no avoiding that! This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. Learners who complete this course will master the vocabulary, notation, concepts, and algebra rules that all data scientists must know before moving on to more advanced material. Topics include: ~Set theory, including Venn diagrams ~Properties of the real number line ~Interval notation and algebra with inequalities ~Uses for summation and Sigma notation ~Math on the Cartesian (x,y) plane, slope and distance formulas ~Graphing and describing functions and their inverses on the x-y plane, ~The concept of instantaneous rate of change and tangent lines to a curve ~Exponents, logarithms, and the natural log function. ~Probability theory, including Bayes’ theorem. While this course is intended as a general introduction to the math skills needed for data science, it can be considered a prerequisite for learners interested in the course, "Mastering Data Analysis in Excel," which is part of the Excel to MySQL Data Science Specialization. Learners who master Data Science Math Skills will be fully prepared for success with the more advanced math concepts introduced in "Mastering Data Analysis in Excel." Good luck and we hope you enjoy the course!...

## Meilleurs avis

VS

22 sept. 2020

This course syllabus is great. It starts wonderfully. Week 1 to 4 is taught by Paul Bendich, and Daniel Egger the instruction is awesome. Effective way to refresh and add the Data Science math skills!

RS

5 mai 2020

This was mostly review for me though probability especially Beyes Theorem derivation was new. The instructors provided clear often refreshing ways to look at material.

Thank you for a great class!!

Filtrer par :

par nisha20181

31 janv. 2019

par Kehinde O

24 août 2017

par Aprodhito A

12 oct. 2022

par Jonathan D M

13 sept. 2020

par Ritima B

31 janv. 2019

par 039Saransh V

27 juil. 2022

par Luis B

21 avr. 2020

par SAUVIK J

28 sept. 2018

par Jay B

25 juin 2020

12 avr. 2020

par Rodolfo S

22 avr. 2019

par Akula B R

28 juin 2020

par Widjati R P

14 juin 2020

3 janv. 2022

31 mai 2020

par Alex T

17 mai 2020

par One T

10 avr. 2020

par Harry M

29 déc. 2018

par Jigme N

26 oct. 2022

par Alvaro I

12 août 2020

par Tyler D

23 juil. 2020

par N

1 nov. 2022

par Shahriar H F

17 juil. 2020

par Candela G F

22 sept. 2020

par 70_Sudipto P

3 juil. 2020