A 6.5-month beginner-friendly Data Engineering course with 320+ practical tasks and interview simulators. Designed for those starting their journey into data engineering from scratch, covering fundamentals to job-ready skills.
About the Course
The Data Engineer from Scratch course by Karpov.Courses is a 6.5-month programme designed for people who are just beginning their journey into data engineering. Whether you are switching careers, coming from a non-technical background, or simply want a structured path into one of the most in-demand roles in tech — this course takes you from zero to job-ready.
Unlike the advanced Data Engineer programme (which assumes prior experience), this course starts with the fundamentals and progressively builds up to the tools and practices used by data engineers in production environments.
What Makes This Course Different
- 320+ practical tasks — learning by doing, not just watching
- Interview simulators — built-in preparation for real job interviews, so you graduate not only with skills but with confidence
- Career support — guidance on building your resume, portfolio, and navigating the job market
- From zero to employable — no prior data engineering experience required
What You Will Learn
The programme is structured to take you through every layer of the modern data engineering stack:
- Fundamentals — SQL, Python, Linux command line, and Git — the building blocks every data engineer needs
- Databases — understanding relational databases, writing complex queries, and working with PostgreSQL
- Data Warehousing — what a DWH is, why it matters, and how to design one that scales
- ETL Pipelines — extracting, transforming, and loading data using modern orchestration tools like Apache Airflow
- Big Data Essentials — introduction to distributed systems, Hadoop ecosystem, and Apache Spark
- Cloud & Infrastructure — working with cloud platforms and understanding how data systems are deployed and maintained
- Data Quality & Governance — ensuring the data you deliver is accurate, consistent, and trustworthy
Course Structure
The course spans 6.5 months and is designed to be compatible with work and other commitments. All lectures are pre-recorded and broken into short segments (15-30 minutes), with flexible deadlines for assignments.
Students have access to a dedicated learning environment with all the necessary infrastructure, and a support team is available to help with any challenges along the way.
Who Is This For
- Career changers looking to break into data engineering
- Junior analysts who want to understand the engineering side of data
- Developers curious about the data domain
- Students seeking a structured, practical education in a high-demand field
- Anyone who finds the advanced Data Engineer course too fast-paced and wants a solid foundation first
My Role
I am the course author and lecturer, contributing my experience in building data platforms at companies like Yandex Go and Toloka AI to make the curriculum practical, relevant, and grounded in real-world challenges.
Outcome
By the end of the programme, graduates will have:
- A strong portfolio of practical projects
- Experience with interview simulators modelled on real hiring processes
- A certificate (Russian and English)
- The skills and confidence to apply for Junior Data Engineer positions
