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学生对 俄罗斯国家研究型高等经济大学 提供的 Discrete Math and Analyzing Social Graphs 的评价和反馈

349 个评分
91 条评论


The main goal of this course is to introduce topics in Discrete Mathematics relevant to Data Analysis. We will start with a brief introduction to combinatorics, the branch of mathematics that studies how to count. Basics of this topic are critical for anyone working in Data Analysis or Computer Science. We will illustrate new knowledge, for example, by counting the number of features in data or by estimating the time required for a Python program to run. Next, we will apply our knowledge in combinatorics to study basic Probability Theory. Probability is everywhere in Data Analysis and we will study it in much more details later. Our goals for probability section in this course will be to give initial flavor of this field. Finally, we will study the combinatorial structure that is the most relevant for Data Analysis, namely graphs. Graphs can be found everywhere around us and we will provide you with numerous examples. We will mainly concentrate in this course on the graphs of social networks. We will provide you with relevant notions from the graph theory, illustrate them on the graphs of social networks and will study their basic properties. In the end of the course we will have a project related to social network graphs. As prerequisites we assume only basic math (e.g., we expect you to know what is a square or how to add fractions), basic programming in Python (functions, loops, recursion), common sense and curiosity. Our intended audience are all people that work or plan to work in Data Analysis, starting from motivated high school students....


Feb 27, 2020

this is a great course i love it and i learned many things like counting , basic of probability graphs\n\nthe first four weeks are amazing the last two weeks was hard to me but possible to solve

Mar 30, 2020

The course is very understandable and assignments are very interesting and applicable. I love the way Russians teach mathematics, therefore I will continue watching courses from this University.


26 - Discrete Math and Analyzing Social Graphs 的 50 个评论(共 90 个)

创建者 Tatjana S

Oct 18, 2020

One sure needs previous experience in python and a little of basic knowledge in statistics.

创建者 David T

Feb 4, 2021

I liked this course. I liked how the quizzes gave you hints if you got the wrong answer.

创建者 Третьяков О А

Jun 24, 2020

Great course!

There are more Eulers paths that you can imagine, it's like zodiaque. ))

创建者 Nitesh K C

Feb 26, 2021

Course is perfect and learned a lot. Only small issue is with the English accent.

创建者 Beket B

Dec 19, 2020

Very informative and helpful course to fully understand everything about graphs)

创建者 Mohammad S C

Jun 17, 2020

Good Course but need to improve in some things like resource and basic things

创建者 Oshin M

Aug 20, 2020

Might be quite difficult at first but get along it will be useful in future.

创建者 K A

Jul 6, 2020

Most of the course was very clear and explained things in detail.

创建者 AYA

Oct 8, 2020

very useful to refresh all necessary basics for algorithms

创建者 A A

Jul 10, 2020

This course is so good to understand basic social graphs

创建者 Daniel H C

Mar 14, 2020

Lessons are well-paced and instructors explain well

创建者 Dr. R .

May 19, 2020

Very informative. Enjoyed doing assignments.

创建者 Jonathan M

Mar 23, 2020

Very informative overview of Discrete Math.

创建者 Pronay k p

Jan 9, 2021

Great course for data science learners!!!!

创建者 Adewinbi H S

Apr 30, 2020

I enjoyed the course.

创建者 Sergio L

Jul 14, 2020

Very good course!!

创建者 Ajit C B

Jun 21, 2020

very good course!

创建者 Manmohan K

Jun 21, 2020

Very good course


Feb 23, 2020

good session

创建者 Saurabh J

Mar 6, 2021

Great Course

创建者 Mohammad S

Jun 12, 2020

Great course

创建者 Nhat P L Q

Jul 5, 2020

Very good

创建者 Ahmed A

May 23, 2020

Thank you

创建者 MR. J T R A

May 26, 2020



Feb 24, 2020