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8,054 Bewertungen

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1,819 Bewertungen

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!...

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)

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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von Bernardo A M G

•Jul 04, 2020

Estoy muy contento, porque el curso me ha permitido crear una adecuada ruta de aprendizaje de las habilidades matemáticas que se requieren en la ciencia de datos. Muchas gracias

von Mohammad M U

•Jun 25, 2020

The course was important especially the topics of probability. The videos are very useful and I can easily followed the flow and topics of this course. Thank ypu for this course

von William W d F

•Oct 10, 2017

Excelent course! I am studying at the Data Science Math Skills to fill some math gaps, and also doing the Data Scientist Toolbox . All of them are really great courses. Enjoy!

von Chinmaya M

•Aug 04, 2020

The course is well structured and helps in acquiring the essential knowledge of mathematics for Data Science. Thanks Daniel Egger and Paul Bendich for this wonderful course.

von Benjamin S M

•Jul 26, 2020

Both instructors we're awesome, it's easy to understand the distinction and level of knowledge in top professors at a top university like Duke. Really appreciate those dudes.

von VINEET

•Apr 03, 2020

A very holistic course on mathematics required for machine learning. I hope the Probability bit could have been covered more in details. Also, very good on exercises as well.

von Ankur K

•Mar 01, 2018

It was wonderful course to do and content was good, but there are some improvement needed inside last chapter.

please add some more slides inside binomial and bayes ' theorems

von Deleted A

•Jul 09, 2017

A great introduction to the basic Mathematics skill needed to start Data Science Career. A must course for does not have the mathematics background required for Data Science.

von RISHU M

•May 25, 2020

A must-have course for anyone who wants to start his/her career in data science. The probability module of this course is really helpful in solving many real-world problems.

von Olumuyiwa O

•Apr 11, 2020

It was excellently taught. I have not perfectly understood conditional probabilities but I am aware that it needs a lot of practice and study. Thank you for your knowledge.

von Tiago V

•Sep 20, 2017

Really good to remember some maths stuff and to learn and consolidate new maths stuff that I thought I knew (but actually only learnt about it in this course).

Great course

von Tony J A

•Jul 21, 2017

Really good course to get a understanding of the basic concepts required to start with data sciences. Teachers are excellent and the quizs and assignments are challenging.

von Irvin

•May 18, 2020

Explanation and notes were very concise, although the learning curve for the probability portion is a little steep. Able to rewatch and google until you grasp the concept

von liqiang

•Feb 13, 2018

This should be my first most completed course on Coursera, although the last quiz overdue. Probability is hard to me, so I've learned a lot during this course, thanks!

von Ana P P D

•Apr 28, 2020

It has really helped me understand a lot of mathematical principles, however i think the explanations of the first professor were more understandable and easy to get.

von ANSARI A M Y

•Apr 24, 2020

its very nice , amazing course

i have cleared my many concepts

requesting you to explain few more examples on joint probability and based on probability topic.

thank you

von SARATHKUMAR

•Apr 15, 2020

Started from basic stuff but when things were getting interesting, the course got completed. Wish a few more topics should have been included in the probability topic

von shivashish p

•Jun 27, 2020

It is a course that led me to understand these topics from basics although I had studied all this but here it gives another dimension to my understanding. Thank you!

von Lasal J

•Oct 26, 2020

The lecturers were very clear when they explained the concepts and it was very easy to understand. Especially how the lecturer approached Bayes theorem was spot on.

von Civan L K

•Sep 30, 2020

even though I have had some background before the course, I took this course as a refreshment and it definitely helped me a lot especially week4 with Bayes theorem.

von Gaikwad M

•Apr 30, 2020

Very helpful and interesting. I truly loved this course and I believe this gonna help me in my upcoming future.. Thank you so much for such an adorable opportunity.

von vani s

•May 25, 2019

Really Really very interesting from the beginning till the end. Instructor videos are excellent. Thank you so much and waiting for these kind of courses in future.

von Sumit K

•May 02, 2020

Its one of the amazing course where i accomplished a great sense of Data Science with Maths.

Many Thanks to Duke University and Prof. Daniel Egger and Paul Bendich.

von Swaviman K

•May 08, 2019

Very well explained concepts. The probability portion was the best. Baye's theorem & Binomial theorem were very interesting. I had a very nice learning experience.

von Kelly C D

•Aug 20, 2018

I haven't taken a formal math class in almost a decade, and this was a very "gentle" welcome-back to the quantitative realm :) thanks to the team behind the magic

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