Enjoyable Econometrics: Learn Key Methods & Applications
Master econometrics through real-life examples. Learn basic statistics, regression, and advanced techniques for data analysis in just 2 hours.
Master econometrics through real-life examples. Learn basic statistics, regression, and advanced techniques for data analysis in just 2 hours.
Dive into the world of econometrics with this beginner-friendly course that makes complex statistical concepts enjoyable and applicable. Over 2 hours, you'll explore basic statistics, simple and multiple regression, and various econometric methods through real-life examples. From analyzing football statistics to predicting economic trends, you'll learn how to apply econometric tools to everyday scenarios. The course emphasizes practical data collection and analysis, preparing you to tackle unconventional research settings. Ideal for those new to econometrics, this course provides a solid foundation for understanding and applying statistical methods in various fields.
4.1
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English
پښتو, বাংলা, اردو, 2 more
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What you'll learn
Explain the three basic methods of Econometrics
Apply different econometrics models to examples of daily life
Interpret and carry out several basic analysis strategies (correlation, regression and distribution)
Ask relevant questions that can be analysed with basic tools
Understand the importance of data collection in econometric analysis
Apply econometric methods to unconventional settings and real-life scenarios
Skills you'll gain
This course includes:
82 Minutes PreRecorded video
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course offers an engaging introduction to econometrics, focusing on practical applications of statistical methods to real-world scenarios. Students will learn the fundamentals of econometric analysis, including basic statistics, simple and multiple regression, and various advanced techniques. The curriculum emphasizes the importance of starting with a question, collecting appropriate data, and then applying suitable econometric models or methods. Throughout the course, learners will explore unconventional settings that require data collection through surveys, experiments, or combining existing databases. By the end of the course, students will be equipped with the skills to apply econometric tools to analyze a wide range of economic and social phenomena, from sports statistics to financial trends.
Introduction
Module 1 · 15 Minutes to complete
Basic statistics
Module 2 · 29 Minutes to complete
Simple regression
Module 3 · 33 Minutes to complete
Multiple regression
Module 4 · 24 Minutes to complete
Variants of multiple regression
Module 5 · 10 Minutes to complete
New cases with new techniques
Module 6 · 21 Minutes to complete
Fee Structure
Payment options
Financial Aid
Instructor
Leading Expert in Applied Econometrics and Marketing Research at Erasmus University Rotterdam
Prof. Dr. Philip Hans Franses is a distinguished Professor of Applied Econometrics and Marketing Research at Erasmus University Rotterdam, where he has served as the Dean of the Erasmus School of Economics since 2006. He holds adjunct professorships at the University of Western Australia, Chiang Mai University in Thailand, and Anton De Kom University in Suriname. His research interests focus on developing and applying econometric methods to address significant problems in marketing, finance, and macroeconomics. With over 250 published articles in international journals and several textbooks published by Oxford University Press and Cambridge University Press—some translated into Chinese and Italian—Franses is a prolific contributor to his field. He is also known for his consulting work with various companies and institutions, including multinationals and charities. His academic leadership and research contributions have established him as a prominent figure in econometrics, influencing both theoretical advancements and practical applications in economics.
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4.1 course rating
109 ratings
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