Data Science for Everyone: HSE on Coursera
Global online platform Coursera has launched the Data Science Academy project - a guide to the world of data science with a selection of the best online courses, specializations, and online master's programmes from world leading companies and universities. The English online course ‘Advanced Machine Learning’, developed by HSE in cooperation with Yandex is among the Academy's courses.
In addition to online courses, the Data Science Academy features the description of key data skills, and career opportunities for specialists with an indication of the average salary and vacancies on the market, as well as recommendations from data specialists. Students can choose their area of interest and specialization or take a test and get recommendations on data analysis courses.
Coursera notes that today data analysis skills are not only necessary for specialists working with data. Employees in a wide range of fields, for example general directors, HR managers, marketing experts with the skills of data processing for strategic decision-making, will be in demand on the labour market. According to a forecast by IBM, by 2020, 110,000 new jobs for specialists who make decisions based on data processing will appear on the market.
HSE's English-language specialization ‘Advanced Machine Learning’ at Coursera will help you to master machine learning at an advanced level. The specialization includes 7 online courses. Participants can choose one or several courses, as well as studying all the courses of the specialization.
HSE has prepared a selection of online courses on Coursera for those who have just started studying data science:
Introduction to Deep Learning
The goal of this course is to give learners a basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers. Learners will use these building blocks to define complex modern architectures in TensorFlow and Keras frameworks. In the course, learners will implement a deep neural network for the task of image captioning which solves the problem of giving a text description for an input image.
Algorithmic Toolbox
The course covers basic algorithmic techniques and ideas for computational problems arising frequently in practical applications: sorting and searching, divide and conquer, greedy algorithms, dynamic programming. You will learn a lot of theory: how to sort data and how it helps for searching; how to break a large problem into pieces and solve them recursively; when it makes sense to proceed greedily; how dynamic programming is used in genomic studies. You will practice solving computational problems, designing new algorithms, and implementing solutions efficiently (so that they run in less than a second).
Mathematical Thinking in Computer Science
Mathematical thinking is crucial in all areas of computer science: algorithms, bioinformatics, computer graphics, data science, machine learning, etc. In this course, you'll learn the most important tools used in discrete mathematics: induction, recursion, logic, invariants, examples, optimality. These tools will be used to answer typical programming questions like: How can we be certain a solution exists? Am I sure my program computes the optimal answer? Do each of these objects meet the given requirements? In the course, we use a try-this-before-we-explain-everything approach: you will be solving many interactive (and mobile friendly) puzzles that were carefully designed to allow you to invent many of the important ideas and concepts yourself.
HSE also offers several courses taught in Russian:
Python Programming for Beginners
Python is one of the easiest programming languages for beginners. Perhaps this is why it is one of the most popular languages nowadays. The course is dedicated to teaching the basic Python structures, which are useful in solving a wide range of tasks – from data analysis to the development of new software products.
Algorithmic Computation
This course is the perfect start to help you dive into the world of programming and data analysis. During the course you will learn how to create, understand and analyze algorithms. The course is a good basis for learning programming languages.
Introduction to Machine Learning
This course will introduce you to the most promising approach to big data analysis – machine learning. You will study the main types of tasks and methods of machine learning, learn how to evaluate the quality of models, and get acquainted with modern libraries that can be used in solving real problems during the course. To start, you will need to understand what functions, derivatives, vectors, matrices are. Basic Python skills are also desirable.
You can sign up for all HSE online courses on Coursera and start your journey into data science now.
See also:
HSE Team Takes First Place in RuCode Algorithmic Programming Championship
On October 20, 2024, the final round of the RuCode Algorithmic Programming Championship took place, setting a new record in the Russian Book of Records as the ‘Largest Competitive Programming Event.’ The event, held simultaneously across 24 locations, hosted 1,450 participants divided into 500 teams. The overall winner of the senior team division was the M.O.S.C.O.W. team from the HSE Faculty of Computer Science (FCS).
HSE Teachers Awarded Yandex ML Prize
The awards ceremony for the international Yandex ML Prize was held in Moscow. This year, all three winners in the ‘ML Educators’ category were HSE faculty members—Evgeny Sokolov, Associate Professor and Head of the Big Data and Information Retrieval School, Anton Konushin, Associate Professor at the Faculty of Computer Science, and Aleksei Shpilman, Associate Professor at the Department of Informatics at HSE’s St Petersburg School of Physics, Mathematics, and Computer Science.
Researchers at HSE in St Petersburg Develop Superior Machine Learning Model for Determining Text Topics
Topic models are machine learning algorithms designed to analyse large text collections based on their topics. Scientists at HSE Campus in St Petersburg compared five topic models to determine which ones performed better. Two models, including GLDAW developed by the Laboratory for Social and Cognitive Informatics at HSE Campus in St Petersburg, made the lowest number of errors. The paper has been published in PeerJ Computer Science.
HSE and Yandex to Expand Collaboration in Training AI Specialists
Over the next ten years, the partnership between Yandex and the HSE Faculty of Computer Science (FCS) will broaden across three key areas: launching new educational programmes, advancing AI research, and exploring the application of generative neural networks in the educational process. Established by HSE University and Yandex a decade ago, the Faculty of Computer Science has since emerged as a frontrunner in training developers and experts in AI and machine learning, with a total of 3,385 graduates from the faculty over this period.
Two HSE Researchers Receive Yandex ML Prize
Two researchers from the HSE Faculty of Computer Science—Aibek Alanov, Junior Research Fellowat the Centre of Deep Learning and Bayesian Methods, Research Fellow at AIRI; and Pavel Braslavski, Associate Professor, Senior Research Fellow at the Laboratory for Models and Methods of Computational Pragmatics—are among the winners of the 2023Yandex ML Prize (formerly the Ilya Segalovich Award).
Days of Computer Science Held as HSE University
Every spring, HSE University’s Faculty of Computer Science, which this year turns nine years old, traditionally opens its doors and invites everyone to a festival. This time, more than 20 events with over 2,000 registered participants were held between April 8th and 16th as part of the Days of Computer Science.
Light Breezes Improve Moods of Social Media Users
Sergey Smetanin, Research Fellow of the HSE Graduate School of Business, conducted a large-scale analysis to examine the impact of weather conditions on the sentiments expressed by users of the Odnoklassniki (OK) social network. The findings have been published in PeerJ Computer Science. This is the first study of its kind in Russia.
Three HSE Researchers Receive Ilya Segalovich Award
Three researchers of the HSE Faculty of Computer Science are among the winners of the 2022 Ilya Segalovich Award: Research Professor Dmitry Vetrov, Associate Professor Alexey Naumov and doctoral student Sergey Samsonov. The award, established by Yandex in 2019, is aimed at supporting young researchers and the scientific community in the field of IT in Russia, Belarus and Kazakhstan.
‘Computer Methods of Cognitome Analysis’ Conference to Explore New Perspectives on Memory and Consciousness
On September 1–3, the HSE International Laboratory of Algebraic Topology and Its Applications will host the international conference 'Computer Methods of Cognitome Analysis'. Konstantin Sorokin, Research Assistant at the Laboratory and organiser of the conference, spoke about the main topics of the event and his hope that it will inspire pure mathematicians, physicists and computer scientists to apply their knowledge and intuition to the problems of brain-function mechanisms.
Applications to Speak at eSTARS 2021 Conference Accepted Until November 15
HSE University and Coursera are bringing together the world’s leading researchers, professionals, education and technology leaders, and business community representatives for the fourth international research conference eLearning Stakeholders and Researchers Summit 2021 (eSTARS). This topic of this year’s summit, which will run from December 1–2, 2021,is ‘Digital Transformation: Global Challenges to the Education System’.