INTRODUCTION TO DATA ANALYSIS USING SPREADSHEETS

Name: INTRODUCTION TO DATA ANALYSIS USING SPREADSHEETS
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Rating: 4.5 (715 reviews)

AAE 335

과목 설명

Introduction to data analysis for social scientists using spreadsheets software - with specific applications to economics, business and finance - including data management and manipulation; formulas and calculations; data visualization and presentation using charts and graphics; statistical and visual analysis of economic indicators using tables, functions, graphs and descriptive statistics; and optimization of functions with economic and financial data.

선수과목

None

충족 요건

AAE 625 , AAE 337 , CNSRSCI 201 , CNSRSCI 564 , and AAE 336

학점

미보고

개설 시기

미보고

평점

3.49

-2.13% 과거 데이터 대비

수료율

97.08%

0.3% 과거 데이터 대비

A 비율

58.48%

-3.88% 과거 데이터 대비

학급 규모

171

67.41% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

DATA VISUALIZATION FOR ECONOMISTS

ECON 315

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.

APPLIED ECONOMIC DATA ANALYSIS

AAE 701

Application of data science methods to economic analyses. Integration of data acquisition, cleaning, analysis, and interpretation in managerial contexts. Emphasis on applications in the agri-food supply chain.

DATA SCIENCE FOR AGRICULTURAL AND APPLIED ECONOMICS

AAE 718

Introduction to data and data processing using both Python and R programming languages. Concepts covered include loading data, data acquisition, cleaning data, visualization/exploring data, and storing data.

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.

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.