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Course Syllabus

2023/2024

SQL

Type: Mago-Lego
Delivered by: Big Data and Information Retrieval School
When: 4 module
Online hours: 52
Open to: students of one campus
Instructors: Margarita Burova
Language: English
ECTS credits: 3
Contact hours: 10

Course Syllabus

Full SyllabusAsk Question

Abstract

Nowadays data analysis plays a significant role in business effectiveness. Most of the data sources are relational databases, which may contain lots of records. Successful data scientists should know how to retrieve and manipulate such information.This course consistently introduces students to database management systems, theoretical base of data manipulations, writing simple and complex queries. The course covers essential aspects of data retrieving and processing.Course materials consist mostly of practical tasks and screencasts, allowing students to implement new knowledge in writing queries to one of the most advanced free DBMS - PostgreSQL.
Learning Objectives

Learning Objectives

  • Able to build SQL queries in a PostgreSQL database
  • Able to build SQL queries in a PostgreSQL database
  • Able to prepare analytical reports on relational databases
  • Able to preprocess data for further analysis
  • Able to retrieve data from DB at application level (e.g. python)
Expected Learning Outcomes

Expected Learning Outcomes

  • Understand fundamentals of relational data model.
  • Learn to transform questions addressed to subject area into query expressions suitable for relational data model.
  • Know basic operations available in relational data model.
  • Learn basic DDL keywords.
  • Learn how to create a database in RDBMS.
  • Understand data integrity support in DBMS.
  • Understand methods of combining records from tables.
  • Know general data types in SQL.
  • Know syntax of simple SELECT queries.
  • Understand how to calculate totals.
  • Know how to rewrite the same queries in different styles.
  • Understand how to work with non-numeric aggregation.
  • Learn to integrate subqueries into other queries.
  • Know syntax of complex SELECT queries.
  • Understand how to use window functions and CTE.
  • Know the difference between regular and materialized views.
  • Know how to calculate rank and running totals.
  • Know how to change data in a database with SQL.
  • Understand basic data security settings.
  • Learn how to access relational database from an application.
Course Contents

Course Contents

  • 1. Introduction to RDBMS
  • 2. Theoretical base for writing queries
  • 3. Writing queries to multiple tables
  • 4. Writing queries with aggregate functions and subqueries
  • 5. Writing analytical queries and creating views
  • 6. Accessing databases from python program
Assessment Elements

Assessment Elements

  • non-blocking Graded Quizzes
  • non-blocking Peer Review
  • non-blocking Final project
Interim Assessment

Interim Assessment

  • 2023/2024 4th module
    0.4 * Final project + 0.4 * Graded Quizzes + 0.2 * Peer Review
Bibliography

Bibliography

Recommended Core Bibliography

  • Beaulieu, A. (2009). Learning SQL : Master SQL Fundamentals: Vol. 2nd ed. O’Reilly Media.
  • Beighley, L. (2007). Head First SQL : Your Brain on SQL —— A Learner’s Guide. Reilly - O’Reilly Media.

Recommended Additional Bibliography

  • Bassan, A. S., & Sarkar, D. (2014). Mastering SQL Server 2014 Data Mining. Birmingham, England: Packt Publishing. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=933788

Authors

  • Боднарук Иван Иванович