Analytic workshop
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The two master's programmes (MDNA and MASNA) are launching the “Data and Network Analytics” minor, available to 2020 students.

The minor will cover the basic concepts and methods of analytics, focusing on network data work and social network modeling and analyzing network unstructured data. The minor's main advantage is the applied nature of the training: no lectures and a focus on practical work.
​​Did you know a handy, simple, and beautiful program for machine learning and data visualization?

And that's the Orange analytics system where you don't have to write code; you insert widgets that can do almost everything from simple visualization to complex models (machine learning and data mining). Orange is suitable for both beginners and advanced users because you can use Orange as a Python programming library.

And Orange has detailed video tutorials to show you how to use it. Install the program and enjoy the visualization!
​​HSE University Online Open Day - come and learn about us 💥

On March 14, 2021, HSE University Online Open Day will take place, where, among others, Valentina Kuskova, PhD, the academic supervisor of the online “Master of Data and Network Analytics” degree programme will share information about our specializations and study tracks, the online learning format, career paths of our alumni and students, portfolio assessment, admissions interview and much more.

Topic: “Network programs online and offline: Expanding the opportunities”
Date and time: March 14, 2021 12:30-13:10 MSK (GMT +3)
One of the requirements of employers is the ability to make pivot tables.

You can master this skill in less than an hour. You'll need Excel and a data set - select all the data, click on the "insert" tab, then " PivotTable" Now you can move the fields you want into different areas, do different calculations, sort the data, and more.

And don't forget to add a new skill to your resume!
​​There is an old saying that goes “There are three kinds of lies: lies, damned lies, and statistics.” But what does it actually mean? How does one lie using a tool that’s supposed to be infallible? How to find out when you are being lied to with statistics? In our age of social networks, where fake news can spread across the world like wildfire, these questions are as important as ever before. Answering these questions however, requires both knowledge and experience.

MDNA and MASNA invite you to their joint webinar “Detecting fake news with statistics”.

The event will take place on March 23, at 19:00 Moscow Time (GMT +3). The webinar will be held by Valentina Kuskova, PhD, the academic supervisor of the programs. We are waiting for you!
​​What can you do with data analysis?

In today’s world, we are both consuming and generating data all the time. But what can we do with the data we generate? What can we learn from the massive amount of unstructured data available to us? How can we gather, manage and process this kind of data? How can we present our insights to others?

Join us on April 07, 2021, at 19:00 Moscow Time (GMT +3). The webinar will be held by Anna Sokol and Gregory Khvatsky, alumni of the Master of Applied Statistics with Network Analysis degree programme and ANR Lab researchers. Learn more about data analysis and some of its interesting and unusual applications and the Master of Data and Network Analytics degree programme itself, and come ready to ask questions - we’ll be happy to answer.
​​Colors from the picture 🌈

Creativity begins with inspiration, so today, we decided to share with you services that can help you choose colors for your website/presentation/logo design.

To do this, you need to find any photo you like and load it into Adobe Color, the "Extract Theme" tab. You will see a palette of the photo's main colors; you can either extract the colors yourself or choose from the offered palettes, for example, "muted."
Tip: start with photographs of nature, everything beautiful has already been invented for us)
​​Spurious correlations

What do Nicolas Cage's films have in common with the number of people drowned in swimming pools🧐?

These events cannot be related, BUT the correlation between these events is 66%! This example proves that we must look not only at numbers but also must understand what is the meaning behind them and if there any. Look at other examples and see for yourself.
​​HSE Master of Data & Network Analytics Webinar: How to win Kaggle competitions
Data science competitions are getting more and more popular, and winning them is a sure-fire way to get noticed by the best employers on the market. However, winning such competitions is no easy feat, especially when you compete against both the world's best universities and companies like Amazon and Google.

Join us on April 21, 2021, at 19:00 Moscow Time (GMT +3). The webinar will be held by Artem Volgin and Ekaterina Melianova, alumni of the Master of Applied Statistics with Network Analysis degree programme. Ekaterina and Artem will tell the story of their road to winning several international competitions on the Kaggle platform, the world’s largest data science community. Learn how studying in our program helped them overtake hundreds of submissions from top universities in the world. We will also be happy to answer your questions about studying in the Masters of Data and Networks Analytics degree program at HSE University.
Word cloud online. Part 2

We have already described how to create a word cloud online using https://wordscloud.pythonanywhere.com. This site allows you to create beautiful pictures, however it’s limited in its use.

The Word Cloud Generator by Jason Davies is an online tool that allows you to load the desired text and adjust various parameters, down to the scale and orientation of the text.

Try and choose what is convenient for you!
What is RMarkdown, or how to make an incredibly excellent report in R

Analytical work isn't just about building models; after all, it's about interpreting and transferring the results into an analytical report. How do you make R become a valuable tool for data analysis and an instant compiler to produce a document that includes the text, the necessary code, and the results?

RMarkdown, which is a kind of add-on in RStudio, allows you to create documents in any format directly in R with the ability to change text formatting to your liking, include third-party images in the text, and use other useful features.

Your data tells a story. Tell it with R Markdown.
​​John Tukey, a well-known mathematician and statistician, wrote that «The greatest value of a picture is when it forces us to notice what we never expected to see.» A picture is worth a thousand words; that is why it is crucial to develop visual thinking. We are bombarded by so much information daily, printed and online, that we simply don’t have time to read it all. However, a chart or a graph can make life easier, and business reporting is not an exception.

The offline English-taught master’s programme «Applied Statistics with Network Analysis» (MASNA) and its «online mirror» «Master of Data and Network Analytics» (MDNA) on the Coursera platform invite you to their joint open doors day webinar «Visual thinking for developing business reports» with Elena Beylina, the winner of a Russian countrywide infographics competition, “Sociography-2021.” The event will take place on May 19, 2021, at 19:00 Moscow Time (GMT +3).

During the webinar, you will learn the basics of visual communications and be inspired to create your infographics, dashboards, or slide docs. If you’re interested in how our programmes' courses will help you improve your reports, come, ask questions, and enjoy!
​​All of us are connected to many other people by an acquaintance, friendship, family, professional, and other social ties. The set of all these connections constitutes the structure of a complex social network we all belong to. The topology of this structure has a substantial influence on every individual and society's functioning via many mechanisms. These mechanisms are described by the Social Network Analysis (SNA) discipline. SNA allows to measure, quantify and analyze social networks and has proved to be a powerful source for understanding group and individual behavior. Unsurprisingly, it became an indispensable instrument for business management. By uncovering the hidden social structure of an organization, informed use of SNA gives a manager access to an organizational “control panel.”

The offline English-taught master’s programme «Applied Statistics with Network Analysis» (MASNA) and its «online mirror» «Master of Data and Network Analytics» (MDNA) on the Coursera platform invite you to their joint open doors day webinar «Social Network Analysis: application for business management and consulting» with Elizaveta Chernenko. She graduated from our programme last year, but this does not mean that she stopped studying network analysis. MASNA allowed Lisa to pursue her favorite field of study – business networks, and successfully enter Oxford this year.

In this webinar, Lisa Chernenko will show business cases that illustrate the power of SNA for organizational management. Join us on May 25, at 19:00 Moscow Time (GMT +3).
Data mining for everyone: from decision-making to predicting the future with Orange

Join our webinar on 13 July at 7pm Moscow time (GMT+3) to learn about data mining techniques that can be used by everyone!

In this webinar Dr. Dmitry Zaytsev, deputy academic supervisor of the «Master of Data and Network Analytics» and a social / data / network scientist with over 15 years of experience in data mining, will show you how free, user-friendly software called “Orange” can help analyze raw data and generate insights for everyday analytics, from decision-making support to creating forecasts.

Can't make it? Register anyway, and we'll send over the recording as soon as it's available.
Registration link: https://zoom.us/webinar/register/6016237542496/WN_yikEjEroRAeeurRwp_MDHQ
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Discovering the capabilities of time-driven network analysis

Discover the field of network science and start developing hands-on time-related network analysis skills at HSE University’s upcoming webinar on 20 July at 7pm Moscow time (GMT+3).

Did you know that “networks” can be so much more than online social platforms? That there is even a field for all network-related theory and methods, called “network science”? And that within the network science field, there is a range of tools that allow analyzing networks over time? In this webinar Valentina Kuskova, PhD Indiana University, academic supervisor of the MDNA program and a data and network scientist with over 20 years of experience, will show how easy it is to work with dynamic networks! You will also find out how HSE's MDNA program can help you leapfrog the competition in the data analytics job market.

Can't make it? Register anyway, we'll send over the recording as soon as it's available.
Registration link: https://clck.ru/WCsti
Heart and Mind: Sentiment analysis in R

How do you know if people like your product? Or what they think about different features on your website? Join HSE University’s webinar on 27 July at 7pm Moscow time (GMT+3) to learn more about sentiment analysis - one of the most useful customer analysis techniques available today.

In this webinar HSE University will cover several techniques that will allow you to get an insight into people's sentiments in R. Ask your own questions and learn the specifics of opinion mining from Grigoriy Khvatskiy, alumnus of the «Masters of Applied Statistics with Network Analysis» degree programme («MASNA») and ANR Lab researcher.

Can't make it? Register anyway, and we'll send over the recording as soon as it's available.

Registration link: https://zoom.us/webinar/register/9116237551114/WN_4Tqa2ZYBRjOEjkEhlOMJwg
Manage your (data) relations: overview of databases from an expert in relational analysis

Have you heard that 95% of data analysis is data cleaning? Cleaning and organizing data is the most time-consuming part of the analytics process. But you can significantly shorten this process. Dr. Valentina Kuskova, academic supervisor of the «Master of Data and Network Analytics» program, who started her relations with databases with first releases of the 4th Dimension, will share tips and tricks for organizing data for any project, big or small.

Join us on August 3 at 19:00 Moscow Time (GMT+3). Can't make it? Register anyway, and we'll send over the recording as soon as it's available.
Registration link:
https://zoom.us/.../4716260823018/WN_K-9FnluJR7usDZ_XKAtnig
Best markers of a program's success: the alumni

Before you join a program, talk to the program's graduates. No other source of information can tell you what the student experience is like, what the opportunities for students and graduates can be, and how you can make your studies the most successful.
In the webinar held by Ms. Elena Beylina, the «Master of Data and Network Analytics» program alumni and a current instructor, you will have a chance to meet with other program graduates and hear their stories of struggle and success.

Join us on August 10 at 19:00 Moscow Time (GMT+3). Can't make it? Register anyway, and we'll send over the recording as soon as it's available.
Registration link: https://zoom.us/webinar/register/3516260832581/WN_udIo51nzRkuA0z2XwVF5cQ
Dear all,

Laboratory of Algorithms and Technologies for Network Analysis of National Research University Higher School of Economics (LATNA) invites you to participate the upcoming activities in this week:

📎 The 11th International Conference on Network Analysis.

Conference web page
Link more details: https://nnov.hse.ru/en/latna/conferences/net2021

📎 6th Winter School on Data Analytics (DA 2021).

Winter School web page
Link and more details: https://nnov.hse.ru/en/latna/conferences/da2021
Correction to the Program: Plenary lecture of Professor Maskin (Novel prize, Harvard University) will be given October 19, at 20:00 (Moscow time)
-  Eric Maskin (Nobel prize, Harvard University, USA)
Arrow’s Theorem, May’s Axioms, and Borda’s Rule
Corrected Conference program is attached
Zoom connection to this lecture (only to this lecture)  is
https://zoom.us/j/98947260691?pwd=cVVCcko1VkdyQWJNcFFtOXdzNk9Jdz09
Conference ID: 989 4726 0691