By the end of this course, learners will be able to install and configure PostgreSQL, create and manage relational databases, insert and manipulate data efficiently, and construct optimized queries to retrieve and analyze information. Learners will also apply aggregation, filtering, and grouping techniques to generate meaningful insights from structured data.

您将学到什么
Install and configure PostgreSQL and create, manage, and populate relational databases.
Write optimized SQL queries using filtering, aggregation, and grouping techniques.
Analyze structured data to generate meaningful insights using PostgreSQL queries.
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12 项作业
February 2026
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该课程共有3个模块
This module introduces learners to PostgreSQL and establishes a strong foundation in relational database concepts. Learners explore PostgreSQL’s core features, understand how to download and install the database system, and configure it for use across different environments. The module also introduces table creation, basic data insertion, and command-line interaction, enabling learners to confidently set up and interact with PostgreSQL databases using both graphical and terminal-based tools.
涵盖的内容
6个视频4个作业
This module focuses on data manipulation techniques within PostgreSQL. Learners practice creating and populating databases, inserting data efficiently, and managing large datasets using advanced DML operations. The module introduces multi-row inserts, UPSERT logic for handling conflicts, and reinforces learning through structured assignments. Learners also begin querying data using SELECT statements to validate and retrieve stored information.
涵盖的内容
7个视频4个作业
This module develops advanced querying skills by focusing on data retrieval, filtering, sorting, and aggregation. Learners work with aggregate functions, advanced SELECT clauses, and ordering techniques to analyze datasets effectively. The module also introduces pattern matching using LIKE, as well as GROUP BY and HAVING clauses, enabling learners to generate meaningful summaries and analytical insights from relational data.
涵盖的内容
7个视频4个作业
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University of Michigan

University of Michigan





