Data Science Math Skills(으)로 돌아가기

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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!...

VS

2020년 9월 22일

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

2020년 5월 5일

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!!

필터링 기준:

교육 기관: Jeremy E

•2020년 10월 11일

About half of the concepts in the course were new, half a review of topics I studied in high school, about 15 years ago. For the review topics, this was a good refresher and the concepts came back quickly. For the topics I hadn't studied before, I felt like there wasn't enough explanation to fully understand the topics, and I had to seek out additional explanation outside the course. There could be more opportunities to practice and reinforce the concepts discussed in the lectures before moving onto the quizzes.

교육 기관: Michael B

•2020년 12월 13일

Week 1 & 2 were done well. Week 3 & 4 lacked clear explanations. Too often the instructor jumped to the result without showing the work of how he reached the answer. I had to spend a lot of time looking elsewhere for explanations. The quizzes also asked questions on topics not covered in the coursework. For example, the course covered the probability of exactly x out n coin flips. The quiz asks the probability of at least x out n coin flips but the course work does not tell you how to calculate that anywhere.

교육 기관: Md A H A

•2020년 12월 10일

The last portion is out of reach for the beginner 's level. but the first portion or i must say , 95% of the course is very good for a beginner to learn about hard topics. without the last portion of probability, i must the this could have been complete tutorial. the last portion is out or reach and no way its for beginner and even it seems the teacher didn't give any effort to teach beginner level students. he just tough what he teaches in his normal class to masters or phd level students/

교육 기관: Dave D

•2018년 1월 26일

This course was a good refresher to some important math concepts needed for further study of statistics and data science. Most of the modules and videos were clear and easy to follow. However, I found the module on probability to be confusing and overly complex in its structure and explanations. For those with stronger math skills than me, it's probably a fairly easy course. I found it appropriately challenging, and for the most part it built my confidence in this important area.

교육 기관: Amber M

•2020년 11월 18일

This course moves very quickly and you will need a scientific Calculator. I was never the best in math, and this gave me a solid view point of the maths I will need to learn better to focus on data science. If you are good with Maths, this might be a great refresher. I worked with a Tutor and got through it, But week 3 I think the videos are out of order, or could be ordered differently. Anyway, I was very challenged and now know exactly where to apply my energy.

교육 기관: Lucas L S

•2018년 1월 31일

The course should be a guide text with very detail readings, with a lot of solved examples (complex ones) step by step. The readings should also explain very weel what I'm doing and why I'm doing each step, and in the end explain the exercise as a whole.

The practice quizzes should bring very real life examples (as thouse of VBS tests) and they have to match de guide text.

The videos should be made only from the most comum doubts and mistakes in the practice quizzes.

교육 기관: Maria S

•2020년 2월 19일

I found the first two.5 modules very well done. However, the second half of week three and week four were very poorly done. I am still uncertain about the applications of Bayes' theorem and the combination/permutation concepts. I had a very difficult time with the last quiz and had to go elsewhere to actually learn what I needed to, and even so, I still do not understand the approach to solving some of the problems. Quite frustrating and not rewarding.

교육 기관: Donna C

•2020년 11월 16일

While this was a good basic math, probability, and statistics refresher with good background material and reference documentation, it only scratches the surface of data science. I did like the problem solving style and the set theory this course encouraged, I did not find it sufficient to call a "data science" class. I understand this is may be a course prerequisite for other course, but alone I don't think it should refer to "data science".

교육 기관: christopher w

•2018년 2월 25일

The first two weeks were well paced, in week 3 I think too much is covered too quickly and in week 4 there is a further acceleration. That said, the course was good in highlighting the areas that I feel I need to work on and motivated me to take University of Zurich's intro to probability which filled the gap for the content from week 4 here. I think this might be a good refresher course for someone whose knowledge is not too stale.

교육 기관: A. S

•2021년 2월 10일

I would give it a 3.5. Good for introducing you to the concepts you might need, but very bad at explaining them. It is understandable since it is a short course. Just bear that in mind when you enroll, if you want to explore a concept in depth you will need to look elsewhere. My main concern lies in the fact that the test were slightly harder than the topics covered on the videos, but still in the realm of manageable.

교육 기관: Dan H

•2019년 2월 18일

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.

교육 기관: Patrycja J

•2020년 5월 12일

Lessons 1-3 are ok. Everything is explained well and you can make the tests easily. 4 is very difficult and despite many trials, I was not able to make it. And because of chapter 4 I suggest you rather take another course.

There is also a technical problem, because the formulas are displayed in java script, so it is not easy to understand how the formula looks like, if you do not know the script :(

교육 기관: Phyllicia A M B

•2020년 6월 19일

The lectures are very short and simple. Sometimes the explanations are not explained thoroughly. Students without background on the subject will find it difficult to apply the concepts in actual problems like in the quizzes. I hope you can improve your content, discussions, and quizzes so students without background in advance math can enjoy your course. Thank you!

교육 기관: Brannon C

•2020년 5월 11일

Helpful overview and review if it’s been a while since you taken stats and probability. But really needs more practice problems with explanations to practice through the workflow on the last two weeks. The formulas and calculations get pretty intense. They have printable handouts that go with all videos that were very helpful.

교육 기관: Raymond S

•2019년 9월 21일

Keep in mind that this is meant to be an introduction to some of the math topics used in data science, it is not a comprehensive course. The course needs to include worksheets with practice problems for the students to practice. The instructors do not use enough real-world examples to demonstrate how the theory is applied.

교육 기관: ACHRAF T

•2020년 4월 25일

je pense qu'il manque quelque définitions ,par exemple , pour dire que la probabilité d'un événement est égal à la somme de probabilités d'intersections de cet événement avec d'autres ,mais en fait on peut dire cela sauf si les autres événements forment un système complet d'événements. mais en général ça reste utile .

교육 기관: SAYAN B

•2020년 4월 18일

The course videos for the topics for Week 3 and 4 are not well explained. Even some of the questions in the quiz are not written in proper format. Please look into this and make changes to the course. Otherwise the syllabus of the course is well designed and the probability questions are of quite high standard!

교육 기관: Jeffrey A B

•2019년 6월 22일

Felt like the first 3 weeks were pretty good but the probability section needs a lot more detailed explanations and examples to make the information clear. For those that are already OK with this subject, it's probably fine but for those that haven't had much background in probability, this part was lacking.

교육 기관: Scott M

•2020년 8월 16일

The first half was planned and organized. The second half seemed haphazard. Examples were a little hard to follow. Quizzes were fine and seemed to test the material presented. I have only taken three other courses (4 total) and this one seemed a little rushed and the second half was created on a whim.

교육 기관: Danilo C

•2018년 1월 17일

First 2 weeks of the course is amazing, very good didactics. The second teacher does not use very good examples, and the thing starts to fill like old math classes, but overall is good. I will need to redo the last 2 weeks because i fill that I will not remember most of it so easy as the first 2 weeks.

교육 기관: Saurabh K

•2018년 5월 27일

Good for high level understanding of few of the concepts. But last week 4 tutorials are covered at very high level , it was quite difficult to understand probability topic without referring to other online tutorials. I wish more examples could be given in the tutorials to strengthen understanding.

교육 기관: Margaret S

•2017년 7월 25일

The class is good. However, the second half of the class zips through concepts that need a lot more explanation than is provided. Moreover this class would benefit from an optional tutorial on how to input factorials into a calculator as the answers on the exam go to the 8th decimal place.

교육 기관: Nicolás M

•2021년 5월 3일

While it is a good course overall, and the first three modules are excellent, the final module on probability has poor explanations. To understand and complete this module I had to review other sites and come back, following recommendations from many other students.

교육 기관: Elizabeth C

•2021년 1월 14일

Didn't like it. It helped me cover some of the concepts I have to know as an aspiring data scientist and the problems are good though tricky, but the explanations were confusing. I often find myself watching Khan Academy videos then coming back to do the questions.

교육 기관: Taruna J

•2020년 8월 6일

Some concepts have been explained beautifully, which made things easier to understand. Some concepts (probability) I earlier understood so very well, but now I am confused with the teachings from this course. I don't really like how it has been explained.