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9,439 Bewertungen

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2,145 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

16. Mai 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)

AS

11. Jan. 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)

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von Star S

•13. Juli 2021

The course started of well paced but began to get complex and hard for me to pick up the logic. i clearly had a bad experience especially in probability part. could have used more understandable examples and explanations . although its said that this course is entirely for beginners, i feel its best suited for people who comes to refresh the topics .

von Esdras C

•6. März 2020

After the second week, explanations become too abstract without a concrete explanation of how relates with the real world. Also, the examples are too short compare to the problems that are included in the quizzes. It will be way more interesting to learn the explanation of the quizzes than the abstract examples during the presentations.

von John

•22. Juli 2020

Some useful concepts, but several of them, especially in the last week of the course, were very vague and did not give examples on how to use them to solve problems, which is the point of the course. If i wanted definitions and formulas I can just google them. The whole point of a video is to teach me how to apply it

von Shadman W

•21. Mai 2020

The initial modules are insightful and helpful. But I had a lot of problems going through the material in week 4. The instructor struggles to make the content engaging and the videos often end up sounding very monotone. There's a big gap between the material discussed and the questions asked in practice.

von Jansen M A

•31. Dez. 2020

The course is fairly easy and unchallenging. It's like an introduction in maths for high school students. I was expecting harder maths related to data science and/or machine learning, but this is just a review of high school maths. Not entirely a waste of time, but disappointing.

von TANMAY A

•28. Mai 2020

baye's theorem and the binomial addition to it should have been explained broadly, this is a multi country based program , people from different country access it. hence each and every formulae and colocations should be explained better and write-in a better way.

von Michael Q

•7. Apr. 2017

Very rushed presentation. Blows right through a lot of fundamental concepts without a deep enough explanation or enough practice material (especially in the last two weeks). I feel like completing this class will require supplementation with better instruction.

von Enrico L

•30. Mai 2020

I was attracted by the syllabus (substance) but I found the presentation of the teachers quite disturbing (form); bad calligraphy, some mistakes, poor explanations. Anyway I completed the course and it will be useful as a general introduction to the topics.

von David S

•26. Mai 2020

The probability section left many serious gaps in information compared to the test. I had to take the exam multiple times, and even after restarting half of the class twice. I'm not usually one to have to do this for a class.

von Hitesh D

•21. Juni 2020

Video lectures were not very clear. It looked like these lectures are for revision and not for learning it first time. Baye's Theorem is yet not clear to me... I just mugged up some formulas which i will eventually forget.

von Sandeep M

•21. Mai 2020

The weeks 1-3 although elementary were explained well but the change of professor on the last one really did nothing. There were far better tutors on youtube teaching the same things he did more clearly.

von Jayprakash C

•1. Sep. 2020

Concepts not covered well enough, just for the sake of teaching. Pure time waste. Bayesian Theory was not taught up to the mark, I had to refer external resources to understand it well.

von Gaurav A

•25. Mai 2020

the video learning was good, but the quiz questions were at a very different difficulty levels. I would just like to say that this was supposed to be an beginner level course.

von E M

•27. Juli 2017

This course is very short. I've completed it in about 4 hours. Nothing was told about linear algebra, statistics, optimization. It is not enough even to learn Data Science.

von Ashraf S

•17. Jan. 2019

This course dos not contain enough examples which needed to train and practice ,PDF is not clear enough and does not contain any problems to practice.

Thanks

von Amanda H

•26. März 2021

The second professor isn't great. I don't think it's his fault, but a lot of information was crammed into 2 weeks and I had to do a lot of self-teaching.

von Saleem G

•30. Apr. 2020

Week 1 and Week 2 material is very well presented. Week 3 was presented very poorly but reading the notes and youtube helped. Week 4 went over my head

von Maria K

•21. Nov. 2020

Materials provided are not sufficient to fully understand the concepts. One has to look for additional books and forums on the internet.

von Jomon K S

•11. Mai 2020

The content of the course was simple. But the quiz were above average. The classes were not sufficient to answer the questions.

von Esaú C

•25. Apr. 2020

I

t's a good review for the people that know something but will be very hard for students that don't have a background in Maths

von Vaibhav J

•10. Feb. 2019

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

von Hubert W A E

•12. Apr. 2021

It was too short, I think they must add additional mathematics course to make this program complete for Data Science needs

von Xose C

•6. Apr. 2020

You'd spend lots of time checking other sources as they do not explain things in detail. They assume many things.

von Peter G

•4. März 2018

I enjoyed the first 2 weeks. Weeks 3 and 4 were harder to follow. Too few examples, particularly in week 4.

von Andersson F R A

•17. Mai 2020

A pesar de que el curso es básico, la parte de probabilidad no está muy bien explicada.

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