This course is part of Databases for Data Scientists Specialization

Instructor: Alan Paradise

What you'll learn

  •   The origins and historical basis for SQL
  •   Standard SQL use and syntax
  •   How to code SQL queries in order to analyze data stored in relational databases

    • Skills you'll gain

  •   Query Languages
  •   Database Theory
  •   Data Modeling
  •   Data Access
  •   SQL
  •   Relational Databases
  •   Database Design
  •   Database Management
  •   Data Analysis
  •   Data Manipulation

    • There are 6 modules in this course

    The Structured Query Language (SQL) can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics. Learn more about the MS-DS program at https://www.coursera.org/degrees/master-of-science-data-science-boulder.

    The Basic SELECT Statement

    Group Functions, SubTotals, and Subqueries

    Getting Data from Multiple Tables

    DDL and DML

    Advanced SQL Commands

    Explore more from Data Analysis

    Advanced Topics and Future Trends in Database Technologies

    Introduction to Structured Query Language (SQL)

    Relational Database Design

    Structured Query Language (SQL) using SAS

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