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IT Courses
- Programming Courses
- Frontend Developer
- Python Developer
- Java Developer
- Java Bootcamp
- PHP Developer
- Game Developer
- DevOps Engineer
- IT Professions (non-development)
- Data Analyst with SQL and Python
- SEO from A to Z for Beginners
- Systems Analyst Bootcamp
- Requirements Development
- Systems Integration Design
- SQL for Data Analysis
- Software Testing Courses
- QA Engineer for Manual Testing
- QA Engineer for Automation Testing
- QA Pro: Manual Testing + Automation
- Manual Testing + English for IT
- Automation Testing + English for IT
Language Courses
Services
- For Children and Teens
- Speech Therapist
- Child Neuropsychologist
- Child Psychotype Assessment
- Tutor for Teens
- For Adults
- Psychologist: Emotional Image Therapy
- Career Coach: Stress-free Career
- Professional Development: Online Courses
- Client Support Specialist
- Client Support and English for Customer Service

(+372) 58177183

Program
FAQs

Online Intensive: SQL for Data Analysis from Scratch

Basics of SQL, data visualization, multiple selections, and writing complex queries to databases

SQL for Data Analysis from Scratch

Online Intensive

By submitting the application, I agree to receive information and the processing of my data in accordance with the Privacy Policy

Personal Account

and lifetime access to materials on the platform

3 months

of regular classes, 10-15 hours per week

In Russian

in small groups with experienced mentors

Partner with Töötukassa

Support for both employed and unemployed individuals

Link to this page location: #about

Why Learn SQL for Data Analytics?

SQL is a programming language that helps work with databases. With it, you will be able to:

Find necessary data and extract specific information from the database
Analyze data by aggregating it, calculating averages, and determining maximum and minimum values to get an overall picture
Compare different datasets to identify trends and anomalies
Create visual reports with data visualizations that can be used to present your findings

Even without programming experience, SQL is easy to master, and it will significantly enhance your analytical skills.

Who is this course suitable for?

Beginner Analysts

Those who are just starting their journey and want to gain fundamental knowledge for further development

Experienced Professionals

Who are seeking professional growth and want to improve their data handling skills

Business Owners and Investors

Who want to analyze data independently and make more informed decisions

Leave a request and start your first lessons for free!

What You Will Master

Basics of SQL

Introduction to creating and managing relational databases

SQL Analytics

Aggregating and grouping data, identifying trends and dependencies

Data Visualization

Presenting analysis results using charts and graphs

Table Joins

Working with multiple selections and data sources

Advanced Tools

Subqueries and conditional constructs to enhance query logic

In-depth Analysis

Analytical functions for uncovering hidden patterns

How the Learning Process Works

Theory

Combined with visual examples makes it easy to grasp new concepts quickly

Tests

After each topic, they help reinforce knowledge and ensure you understand everything

Training Simulators

And code editor for solving practical tasks and preparing for real-world work

Link to this page location: #program

Detailed Course Program

SQL for Data Analysis

__ academic hours
In Russian

Each module contains a set of exercises and tests for better material retention

Module 1: Basics of SQL

Introduction to databases and SQL language
Creating and structuring tables
Basic queries for data selection
Filtering and processing data
Data modification and transactions

Result: Confident writing of basic SQL queries and working with relational databases

Module 2: Basics of SQL Analytics

Using aggregate functions
Grouping and filtering data
Joining tables and working with NULL values
Basics of SQL syntax for analytics

Result: Ability to conduct data analysis using SQL

Module 3: Advanced SQL Analytics

Concept of a data warehouse and its application
Data aggregation for visualization
Working with types of charts
Application of basic and advanced visualizations

Result: Creating data visualizations for analytical reports

Module 4: Joins in SQL

Types of joins and their application
Working with aliases and subqueries
Creating unions between multiple tables
Application of VIEW and CTE

Result: Confident use of joins to work with multiple tables

Module 5: Advanced Queries

Using subqueries and conditional constructs
Working with CTE (Common Table Expression)
Aggregation conditions using CASE

Result: Ability to create complex SQL queries for various analytical tasks

Module 6: Set Operations

Union intersection and difference of queries
Set union operations (UNION UNION ALL)
Set comparison (EXCEPT INTERSECT)

Result: Confident use of set theory operations for data manipulation

Module 7: Window Functions

Basics of window functions and partitions
Cumulative aggregations and ranking of data
Working with neighboring values (LEAD LAG)

Result: Application of window functions for complex analysis and data representation

Link to this page location: #cta

Leave a request and master working with databases!

SQL for Data Analysis

Online Intensive
3 months
In Russian
1650 euro

By submitting the application, I agree to receive information and the processing of my data in accordance with the Privacy Policy

Link to this page location: #faq

Frequently Asked Questions

I have no programming experience. Will I be able to complete this course?

Yes our course is designed for people with no prior programming experience. We will start with the very basics and step by step you will master the SQL language transforming from a beginner to a confident user. Our practical instructors are always ready to help and support you at every stage of the learning process.

How long does the course last and how is it organized?

The course lasts three months and includes regular classes of 10-15 hours per week. This schedule allows you to plan your studies flexibly and learn at a time that is convenient for you. You will have access to a personal account and lifetime materials so you can independently review and deepen your knowledge.

What is the structure of the course and what topics will be covered?

The course consists of seven modules each covering the key aspects of working with SQL. You will learn everything from the basics of SQL and analytics to advanced queries and window functions. Each module includes practical exercises and tests ensuring a deep understanding of the material and its application in practice.

What level of knowledge will I acquire by the end of the course?

You will be able to confidently write basic and complex SQL queries conduct comprehensive data analysis create visual reports and visualizations. These skills will open up new career opportunities and enhance your competitiveness in the job market.

Will I be able to apply the knowledge gained in practice?

Yes you will gain not only theoretical knowledge but also practical skills. All classes focus on real tasks and scenarios allowing you to apply the knowledge gained in your professional activities immediately after completing the course.

Is there a possibility of feedback?

Yes during the training you will be able to receive feedback from instructors and share your questions with other course participants. You will also be able to participate in discussions and receive help with any difficulties encountered.