# 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

4.4
447 个评分
123 条评论

## 课程概述

The main goal of this online 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. This Course is part of HSE University Master of Data Science degree program. Learn more about the admission into the program and how your Coursera work can be leveraged if accepted into the program here https://inlnk.ru/rj64e....

## 热门审阅

SS
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

LR
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.

## 76 - Discrete Math and Analyzing Social Graphs 的 100 个评论（共 127 个）

Jul 22, 2021

T​his was an excellent course, and all three professors are excellent. The videos and slides and exercises were very well done. I do recommend that the professors speak a bit more slowly, as that would aid in learning.

Mar 15, 2021

Great course! enjoyed it throughout. video length was very appropriate (mostly under 5 mins) which ensured maximum concentration. Would recommend providing more examples on the graphs part of the course.

Nov 11, 2020

a good course rich with useful informations and quizzes to practice, i'm happy with what i've learned but i think the module of graphs needs more time to explain that it could be a course on its on.

Sep 30, 2020

It uses python 2.x and last assignment instruction were not as clear as they should be in my opinion

as this is complex and when question is not clear it creates a lot confusion and frustration.

May 20, 2020

First part of the course (Combinatorics) is not so interesting as the others due to not-very-good English of lecturer (sometimes he's not-understandable, sometimes the speach is monotonous).

Nov 24, 2021

The course was a little hard at times but the instructor did a good job of explaining all the concepts. I liked how the instructor used various examples to help students understand.

Mar 9, 2021

Challenging and fun course. Some of the questions are phrased rather ambiguously, and feedback is minimal. Nevertheless, the course was fun and I'm looking forward to the next one.

Sep 30, 2021

T​he course is tough, especially if you are not familiar with math. But with a bit of exploration, you will learn concepts that have a wide range of applications, including DS.

Mar 1, 2021

Everything is perfect except the last assignment. I believe that this assignment is not related to the content of the course and it doesn't serve the purpose of the course.

Jan 3, 2021

Love the course, the teachers explain very well each lessons, the only reason I gave 4 stars is because is not very clear how to submit the final assessment.

Apr 15, 2020

Generally it is a great course but sometimes a new concept is being introduced in a few minutes and it takes time to digest.

Dec 1, 2020

The combinatorics and probability parts were pretty good. The graph stuff was too superficial so it was a bit boring.

Nov 23, 2020

A little hard at the end with programming homeworks, but overall is a great course worth the time and efford !!

Aug 29, 2021

Course is fine, but final assignment requires things which were not covered in it and are hard to find online.

Aug 13, 2020

The questions given in assignments and the points discussed in lectures always does not have any resemblance.

Dec 11, 2020

Fantastic course, gives a very new take on discrete mathematics by explaining it in terms of programming

May 17, 2021

Some more examples can be given for some topics which were generally orally explained only a bit

Apr 3, 2021

A good course to find resources and keep studying and digging deeper for yourself. I liked it.

Aug 18, 2020

The first and second lecturer is fine. The third one is not so clear in explaining materials.

Aug 25, 2020

Interesting course on a fascinating subject. I wish questions were a bit more challenging.

Oct 23, 2021

Some lessons on week 5 are very low quality, not deep diving, but some not clear overview

Apr 17, 2020

It's a good course. This is my first step in graph theory and that 's so interesting.

Mar 19, 2021

You need to know how to code with python. it's not for beginner level in my opinion

Apr 18, 2021

The descriptions of a lot of things could very well be more detailed.

May 20, 2020

Course was good with hands on experience