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Econometrics: Methods and Applications
Coursera
Course
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Econometrics: Methods and Applications

Erasmus University Rotterdam

Learn to analyze and solve economic and business questions using data analysis tools. Build predictive models that support decision-making across various fields.

Unknown9 weeksEnglish200,361 enrolled

About this Course

Welcome! Do you wish to know how to analyze and solve business and economic questions with data analysis tools? Then Econometrics by Erasmus University Rotterdam is the right course for you, as you learn how to translate data into models to make forecasts and to support decision making. What do I learn? When you know econometrics, you are able to translate data into models to make forecasts and to support decision making in a wide variety of fields, ranging from macroeconomics to finance and marketing. Our course starts with introductory lectures on simple and multiple regression, followed by topics of special interest to deal with model specification, endogenous variables, binary choice data, and time series data. You learn these key topics in econometrics by watching the videos with in-video quizzes and by making post-video training exercises. Do I need prior knowledge? The course is suitable for (advanced undergraduate) students in economics, finance, business, engineering, and data analysis, as well as for those who work in these fields. The course requires some basics of matrices, probability, and statistics, which are reviewed in the Building Blocks module. If you are searching for a MOOC on econometrics of a more introductory nature that needs less background in mathematics, you may be interested in the Coursera course “Enjoyable Econometrics” that is also from Erasmus University Rotterdam. What literature can I consult to support my studies? You can follow the MOOC without studying additional sources. Further reading of the discussed topics (including the Building Blocks) is provided in the textbook that we wrote and on which the MOOC is based: Econometric Methods with Applications in Business and Economics, Oxford University Press. The connection between the MOOC modules and the book chapters is shown in the Course Guide – Further Information – How can I continue my studies. Will there be teaching assistants active to guide me through the course? Staff and PhD students of our Econometric Institute will provide guidance in January and February of each year. In other periods, we provide only elementary guidance. We always advise you to connect with fellow learners of this course to discuss topics and exercises. How will I get a certificate? To gain the certificate of this course, you are asked to make six Test Exercises (one per module) and a Case Project. Further, you perform peer-reviewing activities of the work of three of your fellow learners of this MOOC. You gain the certificate if you pass all seven assignments. Have a nice journey into the world of Econometrics! The Econometrics team

What You'll Learn

  • Understand how to analyze economic and business questions using data analysis tools
  • Build predictive models based on data
  • Apply econometrics to support decision-making in various fields
  • Handle endogenous variables and binary choice data
  • Use time series data in modeling

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions in English and complete short practice activities

Instructors

F

Francine Gresnigt

PhD candidate

D

Dennis Fok

Prof. Dr.

M

Michel van der Wel

Dr.

E

Erik Kole

Dr.

Topics

Probability and Statistics
Data Science
Math and Logic
Case Studies
Trend Analysis
Probability
Regression Analysis
Model Evaluation
Time Series Analysis and Forecasting
Econometrics

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الإحصاء والاحتمالات
علوم البيانات
الرياضيات والمنطق
دراسات حالة
تحليل الاتجاهات
الاحتمالات
تحليل الانحدار
تقييم النماذج
Time Series Analysis and Forecasting
Econometrics

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