Chevron Left
Retour à Data Science Math Skills

Data Science Math Skills, Université Duke

4.5
1,591 notes
367 avis

À propos de ce 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

par AS

Jan 12, 2019

Effective way to refresh and add the Data Science math skills! Thanks a lot! At the time of the study some of the quizzes content were not rendering correctly on mobile devices (both iPad and Android)

par PS

Jul 23, 2017

This is neat little course to revise math fundamentals. I generally find learning probability a little tricky. This course helped me a lot in better understanding Bayes Theorem. Thank you professors.

Filtrer par :

360 avis

par Carlos Viloria

Feb 18, 2019

V

e

r

y

g

o

o

d

r

e

s

o

u

r

c

e

t

o

r

e

f

r

e

s

h

t

h

I

n

g

s

w

e

l

e

a

r

n

e

d

in the past and also asses some voids in our knowledge of calculus and probability. Thanks!!!!

par Daniel Hislop

Feb 18, 2019

good subject matter choice; however, quality varied between the two professors. weeks 1-3 provided good clear lectures and enough practice questions; but week 4 had several confusing points in the lecture, then not enough practice. I really had to supplement my learning with outside videos and problems for week 4. but i passed the final test first time. thanks for narrowing down the maths needed for data science.

par harika yadavalli

Feb 13, 2019

I have enjoyed the course and refreshed my mathematics

par Vaibhav Jain

Feb 10, 2019

Found the title of the course mis-leading! School level Math skills are taught. Found the title to be similar to "click-baits"

par Antonio M. Hegar

Feb 07, 2019

The material covered was very useful for a beginner/intermediate course, however, the style of the presenters was not always very clear.

par Ahmed Omar Bameqadam

Feb 07, 2019

More exerciser required. Specially in probabilities theorem

par Mai Van Xuan

Feb 06, 2019

It's very good to learn this course, so amazing.

par Qicheng Shen

Feb 03, 2019

Nice Course, Looking for specialization bundle on this one

par Saida Sheikh Ahmed

Feb 02, 2019

Great course

par shruti budathoki

Feb 01, 2019

I have learn many things from this course such as algebra, equations,and other math problems. It has given me many information .