This class was tough.
Course Overview:
It is a difficult course and an introductory course to econometrics. However, you do learn a lot!
Course highlights:
The powerpoints Mallick make are easy to follow and explain a lot of the material.
Hours per week:
6-8 hours
Advice for students:
Go to class! Go to office hours. Learn R!
Not too easy. Not too difficult.
Course Overview:
The course focuses on elementary probability and inferential statistical techniques.
Course highlights:
survey of basic descriptive statistics and data sources and then covers elementary probability theory, sampling, estimation, hypothesis testing, correlation, and regression. The course focuses on practical issues involved in the substantive interpretation of economic data using the techniques of statistical inference.
Hours per week:
6-8 hours
Advice for students:
The course is very useful for future courses such as econometrics and microeconomics.
This class was tough.
Course Overview:
The course focuses on elementary probability and inferential statistical techniques, which are essential for every econ student.
Course highlights:
The course begins with a survey of basic descriptive statistics and data sources and then covers elementary probability theory, sampling, estimation, hypothesis testing, correlation, and regression. The course focuses on practical issues involved in the substantive interpretation of economic data using the techniques of statistical inference. For this reason, empirical case studies that apply the techniques to real-life data are stressed and discussed throughout the course, and students are required to perform several statistical analyses of their own.
Hours per week:
12+ hours
Advice for students:
This course is among the toughest, be prepared guys