SQL for Data Analysis

2026/2027

Учебный год

ENG

Обучение ведется на английском языке

3

Кредиты

Кто читает:

Департамент бизнес-информатики и операционного менеджмента

Статус:

Курс по выбору

Когда читается:

1-й курс, 2 модуль

Course Syllabus

Abstract

The course focuses on studying the relational data model and the capabilities of the SQL language, developing skills in using SQL to analyze data that are organized in accordance with the relational data model. Based on the results of studying the discipline, students will have the skills to develop relational databases and write queries in SQL to solve applied data analysis problems.

Learning Objectives

• ● Attain knowledge regarding the capabilities of SQL standards within the context of relational database management systems (RDBMS).
• ● Develop proficiency in designing databases that adhere to the principles of the relational data model.
• ● Acquire skills in conducting data analysis through the use of SQL queries.

Expected Learning Outcomes

• ● Ability to design and create data structures for well-defined problem domains in accordance with the classical relational data model.
• ● Ability to write queries for inserting and modifying data in relational databases.
• ● Proficiency in writing queries involving data filtering conditions, combining data from multiple tables and aggregating data.
• ● Competence in writing stored procedures and functions in the SQL language.

Course Contents

• Introduction to Relational Databases
• Development of a Relational Database
• Introduction to SQL
• Handling standard data types
• Nested queries in SQL
• Common table expressions. Stored procedures and functions
• Handling complex data types
• Windows functions in SQL queries

Assessment Elements

• Midterm
  midterm covers topics 1–5 and contains open‑ended questions and tasks. 80 minutes are allocated for the midterm. The midterm grade is calculated as the sum of the points for the tasks.
• Exam
  The exam consists of tasks related to working with a PostgreSQL database. There are 7 tasks in total, of which 4 tasks are worth a maximum of 1 point each, and 3 tasks are worth 2 points each. The exam is allocated 80 minutes. The exam grade is calculated as the sum of the points for the tasks.
• Ongoing monitoring of work at seminars
  An offline test is conducted with tasks based on the material that has been studied.

Interim Assessment

• 2026/2027 2nd module
  0.3 * Midterm + 0.2 * Ongoing monitoring of work at seminars + 0.5 * Exam

Bibliography

Recommended Core Bibliography

• SQL for Data Scientists-A Beginner's Guide for Building Datasets for Analysis, Renée M. P. Teate, 2021, John Wiley & Sons, Inc

Recommended Additional Bibliography

• Job Ready SQL, Haythem Balti, Kim Weiss, 2023 John Wiley & Sons, Inc.

Authors

• Orlova Ekaterina Dmitrievna
• ALEKSEEV ANTON DMITRIEVICH