ADVANCED SQL & DATA WAREHOUSING

Name: ADVANCED SQL & DATA WAREHOUSING
Availability: OutOfStock
Rating: 4.9 (303 reviews)

GENBUS 746

과목 설명

Provides an opportunity to construct advanced SQL statements (including joins, common table expressions, window functions, etc.) and build cloud data warehouses in a variety of software vendor platforms.

선수과목

(GENBUS 760 and GENBUS 780 ), (GENBUS 882 and GENBUS 883 ), or member of Graduate Business Exchange program

충족 요건

This course does not satisfy any prerequisites.

학점

미보고

개설 시기

미보고

평점

3.9

-0.76% 과거 데이터 대비

수료율

100%

과거 데이터 대비 변화 없음

A 비율

85.71%

-6.24% 과거 데이터 대비

학급 규모

119

17.82% 과거 데이터 대비

Cumulative Grade Distribution

강사 (2026 Summr)

다음 사이트의 평점순으로 정렬 Rate My Professors

유사 과목

CLOUD TECHNOLOGY FOR BUSINESS ANALYTICS

GENBUS 780

Provides an overview of cloud services that support business analytics. Load and analyze data, build and deploy machine learning models, and develop data pipelines through hands-on, in-class activities working in cloud environments.

DATA TECHNOLOGY FOR BUSINESS ANALYTICS

GENBUS 760

Focuses on various technologies needed to perform data analytics. Techniques of extracting structured and unstructured data from databases, applications, or social networks. Transform and combine data with other relevant information and load into targeted systems. How to use programming languages to collect data from the web and leverage libraries for other, more, advanced data analysis.

CLOUD ANALYTICS AND ARTIFICIAL INTELLIGENCE TOOLS FOR BUSINESS

GENBUS 308

Apply statistics and data literacy to business problems using popular analytics and artificial intelligence tools in the cloud.

SQL FUNDAMENTALS

GENBUS 882

Construct a wide variety of SQL statements; such as joins, common table expressions, window functions, etc. Basics of query optimization and data modeling.

DATA VISUALIZATION & CLOUD TECHNOLOGIES

GENBUS 883

Provides experience in data visualization and cloud technologies to support business analytics. Create and share compelling data visualizations to enhance decision making. Use cloud technologies to build scalable data warehouses, analyze big data, and develop and deploy machine learning models.