制作方:   鹿特丹伊拉斯姆斯大学

  • Philip Hans Franses

    教学方:    Philip Hans Franses, Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Christiaan Heij

    教学方:    Christiaan Heij, Dr.

    Econometric Institute, Erasmus School of Economics

  • Michel van der Wel

    教学方:    Michel van der Wel, Dr.

    Econometric Institute, Erasmus School of Economics

  • Dennis Fok

    教学方:    Dennis Fok, Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Richard Paap

    教学方:    Richard Paap, Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Dick van Dijk

    教学方:    Dick van Dijk , Prof. Dr.

    Econometric Institute, Erasmus School of Economics

  • Erik Kole

    教学方:    Erik Kole, Dr.

    Econometric Institute, Erasmus School of Economics

  • Francine Gresnigt

    教学方:    Francine Gresnigt, PhD candidate

    Econometric Institute, Erasmus School of Economics

  • Myrthe van Dieijen

    教学方:    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
授课大纲

常见问题解答
运作方式
课程作业
课程作业

每门课程都像是一本互动的教科书,具有预先录制的视频、测验和项目。

来自同学的帮助
来自同学的帮助

与其他成千上万的学生相联系,对想法进行辩论,讨论课程材料,并寻求帮助来掌握概念。

证书
证书

获得正式认证的作业,并与朋友、同事和雇主分享您的成功。

制作方
鹿特丹伊拉斯姆斯大学
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.
评分和审阅
已评分 4.5,总共 5 个 428 评分

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.