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# Discrete Math and Analyzing Social Graphs

## Coursera

1 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

The main goal of this Discrete Math and Analyzing Social Graphs course offered by Coursera in partnership with National Research University Higher School of Economics is to introduce topics in Discrete Mathematics relevant to Data Analysis. This course is part of the Mathematics for Data Science Specialization.

## Overview

The Discrete Math and Analyzing Social Graphs course offered by Coursera in partnership with National Research University Higher School of Economics 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.

#### The 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.

## Programme Structure

Courses included:

• Basic Combinatorics
• Discrete Probability
• Introduction to Graphs
• Basic Graph Parameters
• Graphs of Social Networks
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## Key information

• Part-time
• 1 months

### Start dates & application deadlines

You can apply for and start this programme anytime.

English

### Delivered

Online
• Self-paced

We are not aware of any academic requirements for this programme.

## English requirements

We are not aware of any English requirements for this programme.

## Tuition Fee

To alway see correct tuition fees
• ### International

Free
Tuition Fee
Based on the tuition of 0 USD for the full programme during 1 months.
• ### National

Free
Tuition Fee
Based on the tuition of 0 USD for the full programme during 1 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access.

## Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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