ECO225H1

UTSG

Big-Data Tools for Economists

An introduction to the big-data tools—including Machine-Learning techniques—economists increasingly use in applied research. The course explores unstructured data sources such as text files, webpages, social media posts, satellite imagery, and weather data. It offers a practical introduction to creating datasets from these sources (e.g., web scrapping), linking data, and managing and visualizing them (e.g., geospatial visualization).

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Prereq: ( ECO101H1(63%), ECO102H1(63%))/ ECO105Y1(80%)/ ECO100Y5(67%)/ ( ECO101H5(63%), ECO102H5(63%))/ ( MGEA02H3 (67%), MGEA06H3 (67%)); MAT133Y1(63%)/ ( MAT130H1(60%)/ MAT135H1(60%), MAT136H1(60%))/ ( MAT148H1 (55%), MAT149H1 (55%)/ MAT137Y1(55%))/  ( MAT158H1 (55%), MAT159H1 (55%)/ MAT157Y1(55%); CSC108H1/ CSC110Y1/ CSC148H1Breadth: Physical & Mathematical UniversesExcl: CSC311H1, ECO250Y0 (Special Topics Abroad in Economics: Big Data Tools and Machine Learning for Economists) taken in Summer 2023, ESC190H1, JSC270H1, STA314H1, ECO225H5.
Easy25%
Useful88%
3
comments
5
ratings

Course Info

DepartmentECO
CampusUTSG (St. George)
Level200
Hours24L/12T
BreadthPhysical & Mathematical Universes
What do you think of ECO225H1?

Reviews (3)

From Reddit
2023 Winter
Difficulty: 4/5Usefulness: 4/5

I completed ECO225 last winter. The class average was a B, so expect this course to be very time-consuming with heavy reliance on Python programming.

View on Reddit1 months ago