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Kyrgyzstan

Data Analytics Engineering

Striving to gain market-oriented knowledge and skills to jumpstart your career in Data & Analytics? Apply for this program and shape your professional path with EPAM experts.
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26_WCA_gentlman.jpg
Pricing
Free
Program start
March 2026
Type
Training
Language
English
Duration
30 weeks
Format
Online
Level
Fundamentals
Details

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.

Join us to build or expand your skills through immersive, hands-on learning in three core areas:

  • Data Integration. Master the art of developing and managing diverse data transformations and migrations.
  • Data Visualization. Discover how to transform raw data into meaningful insights and present them through clear, engaging dashboards for better decision-making.
  • Data Quality. Learn to ensure data is trustworthy, complete and accurate by testing the work of other data engineers, performing validations and re-creating logic to confirm it functions as expected.

After successfully completing all program stages, you will gain market-oriented skills that you may further apply at EPAM or elsewhere in the IT industry.

Data Analytics Engineering

Data Analytics Engineering is about turning raw data into valuable business insights. It includes data collecting, storing, processing, validation and visualization.

More about this skill
direction
What do we offer?
  • Industry-focused education with EPAM, a leading software engineering company
  • Intensive, hands-on learning through numerous practical assignments
  • Free access to top-notch educational materials and resources
  • Regular guidance from seasoned mentors throughout your training
  • Deep dive into your specialization and emerging technologies like GenAI and Cloud
  • Opportunity to join the EPAM team upon successful completion of all stages
Training process

The program is designed to guide you through two engaging stages:


Stage 1: Fundamentals (3 months with ~15-20 hours per week)

At this stage, you'll build a strong foundation in Data Analytics Engineering. Here's what to expect:

  • Weekly learning. Explore self-study materials, then practice through tasks and tests. Each assignment will come with a one-week deadline, helping you make steady progress.
  • Guidance from mentors. Submit your practical assignments for feedback and approval from experts on a weekly basis.
  • Q&A sessions. Join weekly evening meetings to discuss your questions and gain professional insights. Recordings will be available. 
  • Skill assessments. Participate in 2 short individual 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 ~20-30 hours per week)

This stage is all about taking your skills to the advanced level with a more intensive approach:

  • Daily learning. Master in-depth materials and complete new practical assignments with further review every two days.
  • Ongoing support. Attend daily group Q&A sessions with peers and mentors for real-time insights.
  • Skill assessments. Participate in short individual assessments after each block, including theoretical reviews and live coding exercises.

Upon successful completion of both fundamentals and specialization stages, we will consider you for open positions based on your demonstrated skills and available opportunities at EPAM.

What is required for training:
training-is-for-you

General requirements:

  • Citizens of Kyrgyzstan and permanent residents who are eligible to work in this country
  • Second-to-last or final year university students and recent graduates
  • Individuals aged 18 years and older

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
How to get started?
  1. Register on this page. Once you fill in all the required fields and attach your CV, you will find the confirmation with more details in your mailbox and notifications tab.
  2. Take the English test available in your account's "My enrollments" section. You should complete it within 5 days of registration and reach the B2 level result or higher to proceed.
  3. Pass the entry technical test available in your account's "My enrollments" section. You should take it within 5 days of registration and reach a minimum score of 70% to proceed (materials for preparation).
  4. Have a conversation with our AI assistant. We will send you an invitation within 2-3 weeks after you complete all the tests (this step will be available only to shortlisted candidates who meet all the requirements and achieve the highest scores).
  5. Start studying a recommended self-paced course. You will get the link in the registration confirmation email and can explore the modules to prepare for the final assessment and upcoming program.
  6. Pass an online final technical assessment on February 16. Closer to this date, we will share additional details if you are selected to participate in this step.
  7. Receive an invitation to the program. We will share final enrollment results and further instructions for your learning journey within 1-2 weeks after the technical assessment.

Please check your profile's mailbox regularly to ensure you receive all important notifications.

What will you learn?
Our program will cover both fundamental and advanced skills in Data Analytics Engineering:
Stage 1: Fundamentals (3 months with ~15 hours/week)
Stage 2: Specialization (4 months with ~30 hours/week)
Important notice
  • Registration, assessment and program start dates are subject to change. Check for updates on this page and via email.
  • We have designed this course for IT beginners seeking to master skills in Data & Analytics. If you have some production experience, feel free to explore our career website for job opportunities. 
  • The program has limited seats, which makes enrollment competitive. Completing all tests does not automatically guarantee an invitation to the interview and final assessment. We will prioritize applicants with the highest scores who meet all requirements.
  • We strive to maintain a fair registration and testing process for everyone. If we detect any cheating, we will have to reject your application.
  • If you are interested in applying while enrolled in another EPAM Campus program, please discuss it with your training coordinator first.
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