Автор:   Роттердамский университет им. Эразма

  • Philip Hans Franses

    Преподаватели:    Philip Hans Franses, Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Christiaan Heij

    Преподаватели:    Christiaan Heij, Dr.

    Econometric Institute, Erasmus School of Economics

  • Michel van der Wel

    Преподаватели:    Michel van der Wel, Dr.

    Econometric Institute, Erasmus School of Economics

  • Dennis Fok

    Преподаватели:    Dennis Fok, Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Richard Paap

    Преподаватели:    Richard Paap, Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Dick van Dijk

    Преподаватели:    Dick van Dijk , Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Erik Kole

    Преподаватели:    Erik Kole, Dr.

    Econometric Institute, Erasmus School of Economics

  • Francine Gresnigt

    Преподаватели:    Francine Gresnigt, PhD candidate

    Econometric Institute, Erasmus School of Economics

  • Myrthe van Dieijen

    Преподаватели:    Myrthe van Dieijen, PhD candidate

    Econometric Institute, Erasmus School of Economics
Commitment7 weeks of study, 4-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.5 stars
Average User Rating 4.5See what learners said
Программа курса

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Задания курса
Задания курса

Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.

Помощь сокурсников
Помощь сокурсников

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Авторы
Роттердамский университет им. Эразма
Erasmus University: a top-100 ranked international research university based in Rotterdam, the Netherlands. Our academic teaching and research focuses on four areas: health, wealth, culture and governance. Erasmus University Rotterdam: make it happen.
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Оценка 4.5 из 5 по 426 отзывам

Very insightful! Does a way better job than the professors at my college at putting concepts across :)

The level of this course is high. It's better to take a basic course on Econometrics and then take up this.

This course is great and satisfying. It's also challenging and demanding. It teaches you how to apply regression and time series to build model for forecasting real world events. It also requires you to have certain level of calculus, linear algebra and statistics to understand the underlying theory. Besides, statistics tools, like R, SPSS or Excel (of your choice), is a must for you to do exercises and projects. Studying all those videos, slides and exercise would take you many hours a week, but you will be very satisfying with modeling skills and working knowledge of time series learned from the course. Studying this course is a wonderful and unforgettable experience for me. I strongly recommend it to those who want to build a solid foundation of modeling data (not only economical data).

Easy to understand [If you are familiar to the course] and imparted by intelligent and intelligible professors.