Data Analytics Engineering

If you are interested in creating data products and exploring the power of data to turn raw information into valuable insights for business growth, then this expert-led program is for you

Registration Closes: August 29, 2025

Program Start: October 2025

Program Duration: 31 weeks

What will you learn?


Stage 1: Fundamentals (3 months with ~15 hours/week)

• Database Development Concept (~2 weeks)
• SQL Foundation (~6 weeks)
• SQL for Analysis (~3 weeks)
• Technical Interview on DB Basics and SQL
  
  
  

Stage 2: Specialization (4 months with ~30 hours/week)

• Data Integration Techniques (~11 weeks)
• Data Analytics Reporting Tool (~2 weeks)
• Data Quality Concepts (~3 weeks)
• Big Data Concepts (self-study course)
• Technical Interview
  
  
  

Program Offerings:


Stage 1: Fundamentals (3 months with ~15 hours per week)

• In this stage, you'll build a strong foundation in Data & Analytics. Here's what to expect:
• Weekly learning. Explore video lessons and self-study materials, then practice through tasks and tests – all within set deadlines to ensure steady progress.
• Mentor guidance. Submit your weekly practical assignments for feedback and approval from expert mentors.
• Interactive support. Join weekly group Q&A sessions with professionals to discuss questions and deepen your understanding.
• Skill assessments. Participate in 3 individual short assessments, including theoretical reviews and live coding exercises.
• Perform well to pass the technical interview and advance to the next level!
  
  
  

Stage 2: Specialization (4 months with ~30 hours per week)

• This stage is all about taking your skills to the advanced level with a more intensive approach:
• Daily learning. Complete daily practical assignments that will challenge and grow your expertise.
• Group support. Attend daily group Q&A sessions with peers and mentors for real-time insights.
• Self-study. Continue exploring in-depth materials to master specialized topics.
  
  
  

By the end, you'll acquire job-ready skills to tackle real-world data challenges confidently.

What do we require?


Skills requirements:

• English level from B2 (Upper-Intermediate) and higher
• Basic knowledge of Relational Database Management System (DBMS) theory
• Understanding of Structured Query Language (SQL)
• Familiarity with Python basics
  
  
  

Nice to have:

• Degree from a technical university or other educational institution with a technical specialization
• Experience in banking and technical spheres
  
  
  

The program start date may change, so the selection period may be adjusted accordingly. Please regularly check for updates on this page and via email.

This educational program is completely free of charge and will be held online.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.