Курсы

Курсы по Data Engineering в Кыргызстане

Мы собираем здесь все курсы и программы по Data Engineering, которые сейчас доступны для специалистов и студентов Кыргызстана. Если появятся новые предложения, добавим их в список. Если хотите добавить информацию о курсах, напишите нам.

AI Academy

Data Engineering в AI Academy

Платно

⚡ Старт курса Data Engineering в AI Academy!

Интенсивная программа для тех, кто хочет не просто учить теорию, а строить полноценные пайплайны на реальных данных.

Русский5 месяцев19:00–21:005 дней в неделюГибридный (онлайн + офлайн)Стоимость рассчитывается после теста, возможна скидка
  • Основы ETL: PostgreSQL, Python, Pandas, SQL
  • ETL-пайплайны: dbt, инкрементальные загрузки, автотесты
  • Хранилища данных: Greenplum, моделирование данных (Star Schema, Data Vault)
  • Оркестрация: Apache Airflow, интеграция пайплайнов, мониторинг
  • Проект: создание end-to-end пайплайна с нуля

EPAM

Data Analytics Engineering

Бесплатно

Expert-led program for creating data products and turning raw data into valuable insights for business growth through immersive, hands-on learning.

This program focuses on Data Integration, Data Visualization, and Data Quality, offering a step-by-step approach with two stages: Fundamentals and Specialization. Participants will gain skills in data collecting, storing, processing, validation, and visualization, with a deep dive into emerging technologies like GenAI and Cloud. Education within an IT company, top-notch materials, practice-oriented approach, and mentor support.

English30 недель (3 месяца Fundamentals + 4 месяца Specialization)Ongoing~15–20 часов/неделя (Fundamentals), ~20–30 часов/неделя (Specialization)ОнлайнБесплатно
  • Data Integration: Developing and managing diverse data transformations and migrations
  • Data Visualization: Transforming raw data into meaningful insights and presenting them through dashboards
  • Data Quality: Ensuring data is trustworthy, complete, and accurate by testing, validations, and re-creating logic
  • Core skills: Data collecting, storing, processing, validation, and visualization
  • Deep dive into specialization and emerging technologies like GenAI and Cloud

TimelySkills

TimelySkills Data Engineering

Платно

Локальная программа TimelySkills — уточните детали напрямую.

Третий курс по Data Engineering, о котором пока известно немного. Организаторы открыты к вопросам в социальных сетях.

УточняетсяУточняется
  • Сообщество TimelySkills из Кыргызстана
  • Индивидуальные консультации по программе
  • Рекомендуется писать напрямую для получения подробностей

EPAM

Data Software Engineering

Бесплатно

Striving to gain market-oriented knowledge and skills to jumpstart your career in IT? Apply for this program and shape your professional path with EPAM experts.

If you have strong Python programming skills and want to start a career in Data Software Engineering (prev. Big Data), then this program is what you need. Our learning path includes two stages, offering you a step-by-step approach to gaining in-depth knowledge in this direction. By participating, you will have the opportunity to gain expertise in software development technologies and Git, dive into the capabilities of the leading public cloud platforms, explore the design, development and maintenance of large data-volume software systems, and learn large-scale data handling technologies (Hadoop, Apache Spark, Kafka, etc.). We offer education within an IT company, top-notch learning materials designed by Data specialists with extensive project experience, a practice-oriented approach with hands-on experience, a deep dive into the specialization, and support from experienced mentors.

English~6 месяцев (2 этапа по ~3 месяца)Ongoing~10-12 часов/неделя (этап 1), ~20 часов/неделя (этап 2)ОнлайнБесплатно
  • Gain expertise in software development technologies and Git
  • Dive into the capabilities of the leading public cloud platforms
  • Explore the design, development and maintenance of large data-volume software systems
  • Learn large-scale data handling technologies (Hadoop, Apache Spark, Kafka, etc.)