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Kursteilnehmer-Bewertung und -Feedback für Data Science Math Skills von Duke University

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8,044 Bewertungen
1,818 Bewertungen

Über den Kurs

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!...

Top-Bewertungen

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)

VC

May 17, 2020

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)

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1501 - 1525 von 1,801 Bewertungen für Data Science Math Skills

von fabio J

Sep 21, 2019

Great introduction / refresh to math & probability

von Jaime M

May 17, 2017

Muy buen curso como base para el analisis de datos

von Ali N

Apr 13, 2020

Overall, the course was good, but I expected more

von Gilmar N

May 28, 2020

It lacks some more problem solving explanations.

von SACHIN N P

May 19, 2020

this course is useful to get the logic of maths.

von James M

Mar 31, 2018

great introduction and refresher to maths skills

von MYO T H

May 24, 2020

Probability Course is difficult to understand

von Joshua C

Aug 29, 2017

The first three chapters are relatively easy.

von Anshul v

May 30, 2020

interesting and learning more inside course.

von Ellen H

Apr 27, 2020

Good examples and illustration. Good tests.

von Belen R R

Oct 26, 2019

A veces las explicaciones no son tan claras

von milly

Aug 20, 2020

Good but need more informative information

von Monish M P

Jun 08, 2020

Good it was perfect for beginners like me.

von Faizia M

Sep 04, 2020

This is helpful for gaining a knowledge..

von Pitipol C

Aug 12, 2020

The second part was a bit short and fast.

von SAROJ K S

Jun 16, 2020

its nice to understand the logic of math.

von PATHLOTH P K

May 18, 2020

Teaching and explainations are quite good

von Raghu R P

Jul 11, 2018

Very good refresher course on Probability

von Shreyas M S

Jul 11, 2020

Week 4 content is not explained properly

von Taisa V

Jun 06, 2020

It was great introduction to math world.

von Akashdeep S

Jun 06, 2020

all is good but improve probability part

von Saira M

Apr 04, 2020

This is really very beneficial for me...

von Suyogya M B

Apr 17, 2020

excellent course for beginners like me.

von Amir G

Jul 12, 2019

Nice but It was obvious and easy stuff.

von Soumya R R

Mar 11, 2019

Too good content and practice sessions.