Economics & Finance · Year 2 · Deepening

S3 Managerial economics and statistics

Analyse the choices of firms and consumers, understand banks and monetary policy, and master inferential statistics.

193hours of coursework

20weeks at 10 h

3steps

13new courses

3universities

A simple econometric study: estimate in Python the effect of price and income on the demand for a good, and discuss the model’s limits.

Courses this semester

111 h

University of Illinois Urbana-ChampaignBeginnerMicrosoft Excel

Stated prerequisites: Familiarity with economic reasoning and concepts recommended

Show the 6 courses

Course	Level	Length	Rating (reviews)
Firm Level Economics: Consumer and Producer Behavior	Intermediate	17 h	4.8 (2,563)
Firm Level Economics: Markets and Allocations	Intermediate	19 h	4.8 (1,191)
Exploring and Producing Data for Business Decision Making	Beginner	23 h	4.8 (1,037)
Inferential and Predictive Statistics for Business	Intermediate	19 h	4.8 (880)
Banking and Financial Institutions	Intermediate	16 h	4.7 (314)
Central Banks and Monetary Policy	Intermediate	17 h	4.7 (127)

57 h

University of MichiganBeginnerPython, Jupyter, Matplotlib, NumPy, pandas, Seaborn, Statsmodels

Stated prerequisites: High school algebra; basic Python recommended

Show the 3 courses

Course	Level	Length	Rating (reviews)
Understanding and Visualizing Data with Python	Beginner	20 h	4.7 (2,741)
Inferential Statistical Analysis with Python	Intermediate	22 h	4.6 (938)
Fitting Statistical Models to Data with Python	Intermediate	15 h	4.4 (718)

25 h

Johns Hopkins UniversityIntermediate

Stated prerequisites: Working knowledge of differential calculus

Show the 4 courses

Course	Level	Length	Rating (reviews)
Calculus through Data & Modelling: Series and Integration	Intermediate	9 h	4.9 (63)
Calculus through Data & Modelling: Techniques of Integration	Intermediate	5 h	4.7 (55)
Calculus through Data & Modelling: Integration Applications	Intermediate	6 h	4.6 (28)
Calculus through Data & Modelling: Vector Calculus	Intermediate	5 h	4.7 (53)

Illinois’s statistics courses use Excel; Statistics with Python covers the same ground in Python.
The Illinois specialization is long (111 h): spread it over the whole semester.

This semester takes 193 hours, about 4 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.