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Regular version of the site
ФКН
Book
eLearning Stakeholders and Researchers Summit 2018: Материалы международной конференции

Edited by: Е. Ю. Кулик

М.: Национальный исследовательский университет "Высшая школа экономики", 2018.

Article
Measuring student’s proficiency in MOOCs: Multiple attempts extensions for the Rasch model

Abbakumov D., Desmet P., Van den Noortgate W.

Heliyon. 2018. Vol. 4. No. 12. P. 1-15.

Book chapter
Integrating MOOCs in University Curriculum: HSE University Experience

Kulik E., Kidimova K. A.

In bk.: Proceedings of Work in Progress Papers of the Experience and Research Tracks and Position Papers of the Policy Track at EMOOCs 2017. CEUR Workshop Proceedings, 2017. P. 118-127.

Book
eLearning Stakeholders and Researchers Summit 2017. Материалы международной конференции

Edited by: Е. Ю. Кулик, У. Кускин

М.: Национальный исследовательский университет "Высшая школа экономики", 2017.

“Data Science is for everyone!”: Coursera's Guide to Data Science and HSE Online Course Collection

Coursera launched Data Science Academy, a guide to the world of Data Science with a collection of the best online courses from leading companies and universities. The online specialisation from HSE Advanced Machine Learning is among the current courses of the Academy.

“Data Science is for everyone!”: Coursera's Guide to Data Science and HSE Online Course Collection

Today the data analysis skills are needed not only for specialists who work with data directly. The labor market is already in demand personnel of various profiles: CEOs, HR managers, marketers with data processing skills for making strategic decisions.

For those who want to boost their career with data analysis skills, HSE Online selected top Data Science online courses on Coursera.

1.

Introduction to Deep Learning. The course gives basic knowledge of modern neural networks and their applications in computer vision and natural language understanding. At the end of the course students are offered a real practical task such as to generate image descriptions using neural networks.

2.

Data Structures. What kinds of data structures are exist and how to work with them? The course will help you to understand a particular built-in implementation of a data structure and what to expect from it. You will also learn typical use cases for the data structures.

3.

Natural Language Processing. This course covers a wide range of tasks in NLP from basic to advanced. The practical part is devoted to one of the most hot topics in today’s NLP. You will build your own conversational chat-bot! The project will give you hands-on experience with such tasks as text classification, named entities recognition, and duplicates detection.

4.

Algorithmic Toolbox. 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? The answers are in this course, which is a good starts for programming understanding.

5.

Mathematical Thinking in Computer Science. Induction, recursion, invariants. If these terms are not familiar to you, then this course is right what you need! The course is devoted to mathematical thinking that will help you to advance in Data Science. We hope you will like try-this-before-we-explain-everything approach in the course. The authors of the course assume that basic math (what a circle is or how to add fractions) is enough to start. However, the basic programming in Python is necessary in some tasks.

All the online courses from HSE are available on Coursera on-demand. You can enroll right now and begin your journey into the promising field of Data Science.

If you want to be a high-skilled data analyst, choose the specializations from HSE «Advanced Machine Learning» or «Data Structures and Algorithms».