DATA VISUALIZATION FOR ECONOMISTS

Name: DATA VISUALIZATION FOR ECONOMISTS
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Rating: 4 (85 reviews)

ECON 315

과목 설명

Introduction to the fundamental concepts of economic data visualization and analysis. Develop a toolkit of skills to visualize, interpret, and communicate data. After examining the fundamentals of data visualization, emphasis is on methods using Tableau to design and develop dashboards, graphs, and charts to ease quick and accurate interpretation of economic relationships. Move beyond tabular results to display and demonstrate the findings of economic research.

선수과목

(ECON 101 or ECON 111 ) and ECON 310

충족 요건

This course does not satisfy any prerequisites.

학점

3 ~ 4

개설 시기

Not Applicable

평점

3.17

-7.55% 과거 데이터 대비

수료율

95.65%

-1.63% 과거 데이터 대비

A 비율

28.26%

-34.76% 과거 데이터 대비

학급 규모

5.99% 과거 데이터 대비

2026 Summr Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

Gregory Pac

[email protected]

4.0

Rating

유사 과목

DATA STORYTELLING WITH VISUALIZATION

LIS 407

Introduction to data visualization including how and why visualization can be an effective tool for summarizing, analyzing and communicating about data, the limitations and challenges in using data visualizations, including misrepresentation and bias and planning appropriate types of visualization(s) based on source data, audience, and goals. Instruction will include hands-on experience with popular visualization software platforms to develop visualizations and presentations.

DATA ANALYTICS FOR ECONOMISTS

ECON 770

Use core economic datasets such as the Panel Study on Income Dynamics, Consumer Expenditure Survey, National Income and Product Accounts, and the American Community Survey for quantitative economic research. Learn to clean and manipulate data to create datasets usable for economic research and to implement theory-based and atheoretic econometric models.

ECONOMIC ANALYSIS USING SPREADSHEETS

AAE 336

Build practical skills related to economic analysis and interpretation of macroeconomic data using spreadsheet software, including downloading and cleaning data; statistical analysis of economic indicators using tables, functions and descriptive statistics; and data visualization using graphs, charts and maps. Apply knowledge to real-world data sets and interpret and analyze data via a final report.

DATA VISUALIZATION

COMPSCI 765

Principles of the visual presentation of data. Survey of Information Visualization, Scientific Visualization, and Visual Analytics. Design and evaluation of visualizations and interactive exploration tools. Introduction to relevant foundations in visual design, human perception, and data analysis. Encodings, layout and interaction. Approaches to large data sets. Visualization of complex data types such as scalar fields, graphs, sets, texts, and multi-variate data. Use of 2D, 3D and motion in data presentations. Implementation issues.

FUNDAMENTALS OF DATA ANALYTICS FOR ECONOMISTS

ECON 570

Introduction to the data that underlies quantitative economic analysis. Learn how to formulate a research question, access economic data sources, conduct preliminary and formal analysis, and report findings in a professional manner.