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

4.5
Sterne
8,038 Bewertungen
1,816 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

VS

Sep 23, 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

May 06, 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.\n\nThank you for a great class!!

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1526 - 1550 von 1,801 Bewertungen für Data Science Math Skills

von Dini L M S

May 30, 2020

I'm so happy can follow this course :)

von Rajamanikam

Jun 30, 2020

Course Tutors are teaching nicely :)

von Barsha K

May 05, 2020

Overall good, little tough on week 4

von Pheello M

Apr 29, 2020

Good course and supporting materials

von Thai H D

Jul 14, 2020

very useful for building foundation

von Ziyu

Jun 09, 2020

the last unit is a bit confusing...

von Praveen S K

May 16, 2020

Some concepts not explain properly.

von Sidharth S

Apr 20, 2020

Thanks for this awesome course sir.

von ANGEL M R

May 05, 2020

A good course for math begianers

von hafsa s

Apr 13, 2020

Great for a review of the basics

von Hein Z

Nov 06, 2018

Nice start math for Data Science

von Nsenga S

Jun 29, 2020

This course is very interesting

von Ahmar H

Apr 23, 2020

Probability part was difficult.

von 郑昕妍

May 06, 2017

very coherent class! Thank you!

von Parimal M

May 01, 2020

Content was really helpful !!

von Mahmoud H

Jul 12, 2020

Great content, Well done !!!

von Rabiyatul A H

May 20, 2020

Worth to refresh math skills

von Prayag S C

Jul 23, 2020

Very interested course.

Nice

von Umashankar

May 23, 2020

Nice course for a beginner.

von Anuj S

May 12, 2020

fully satisfied with course

von Chhitij V

Apr 30, 2020

Probability course was good

von Anushka T

Apr 24, 2020

good course for a kickstart

von saurabh

Nov 22, 2019

Please send the certificate

von SHUBHANKAR K

Aug 19, 2020

Fantastic and elaborative

von Asmita g

Jul 02, 2020

i want a certificate.....