Kyrgyzstan
Data Analytics Engineering
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.
Pricing
Free
Program start
March 2025
Type
Training
Language
English
Duration
28 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 training program is what you need.
By participating, you will have the opportunity to acquire new skills or expand existing knowledge through hands-on experience in three major areas:
- Data Integration – development and support of a wide range of data transformations and migrations
- Data Visualization – creation of interactive and complex data visualizations and analysis tools
- Data Quality – data validation and transformation at every stage of the project
Data Analytics Engineering
Data Analytics Engineering is about turning raw data into valuable business insights. It includes data collecting, storing, processing, validation and visualization.
What do we offer?
- Industry-based education. As a leading software engineering company, we will help you explore emerging technologies and best practices that the market demands.
- Top-notch learning materials. Our Data & Analytics specialists with extensive project experience have designed and tested the educational content in numerous training runs.
- Practice-oriented approach. This comprehensive program focuses on providing you with hands-on experience and practical application of the concepts learned.
- Deep dive into the specialization. Our graduates become highly skilled specialists ready to face complex technical challenges and work with the world's leading customers.
- Support from experienced mentors. We will guide you at all training stages, covering your open questions and sharing feedback on assigned tasks.
- Career advancement. 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.
Training process
The program consists of two stages:
Fundamentals stage
- It will last 3 months and require ~12 hours of weekly engagement.
- You will explore self-study materials, complete one assigned task each week, ensure its approval by mentors and discuss your questions during weekly group sessions led by experts.
- Additionally, you will participate in 2-3 individual assessments with mentors, which will involve a theoretical review and live coding exercises.
- If you show good results and successfully pass a technical interview, we will invite you to the next stage.
Specialization stage
- It will last 4 months and require ~20 hours of weekly engagement.
- At this stage, learning will become more intensive, involving daily assignments, daily group Q&A sessions and exploration of self-study materials.
What is required for training:
- 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?
- Register on this page till February 10. Once you fill in all the required fields and attach your CV, you will find the confirmation with more details in your mailbox or notifications tab.
- Specify your interest in this program in your profile's "Additional information" section. Please indicate the reasons for choosing this training and your expectations.
- Take the English test available in your profile. You should complete it within 5 days after registration and reach a B2 (Upper-Intermediate) English level result or higher to proceed.
- Pass the entry technical test available in your account's "My enrollments" section. You should take it within 5 days after registration and reach a minimum score of 70%. Please pay attention to the materials from this article to prepare.
- Have an online interview with a recruiter. We will contact you within 1-3 weeks after you pass all the tests to ask some general questions and guide you through the next steps.
- Start studying a recommended self-paced course. You will get its link in the registration confirmation email and can explore the modules to prepare for the final exam and upcoming program.
- Pass an online final technical exam on February 20. We will schedule it for a specific time, which will be the same for all participants and be provided to you in a separate email.
- Receive an invitation to the program. We will inform you of the enrollment results and share further instructions for your learning journey within 1-2 weeks after the technical exam.
Please check your profile's mailbox regularly to make sure you get 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 ~12 hours/week)
Stage 2: Specialization (4 months with ~20 hours/week)
Useful links
Що кажуть наші випускники
“The knowledge that I’ve got is invaluable and now being used on real projects.”
I joined the program to learn modern technologies and understand real business operations. I enjoyed diving into my studies, discovering a passion for working with data, building data warehouses, and designing ETL pipelines, areas I'm eager to expand my knowledge in.
It was tough, especially the specialization stage. But, despite the arduous journey, I'm deeply grateful to the mentors and team in the program. The invaluable knowledge gained is now applied in real projects.
Aidar Ibraev
Junior Software Engineer
“The training helped me build confidence and become part of a big community. ”
After a career break, I realized that the job market had changed significantly. I needed to learn new tools and gain more knowledge. Luckily, I found out about EPAM's Data Analytics Engineering training. When I signed up for the course, I was excited to receive such high-quality information, meet interesting people, improve my skills and overcome my fear of interviews. The training helped me build confidence and become part of a big community. Now, I work at EPAM and feel grateful for this amazing journey.
Tolgonai Andakulova
Junior Software Engineer
Please read this info before registration
- This program is for citizens of Kyrgyzstan and people who have relocated to this country for a permanent stay.
- As the learning process is quite intensive, we only invite specialists, graduates and senior university students.
- 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.
- Considering the limited number of places in this program's group, the selection results will be decisive factors in enrollment, with the applicants with the highest scores being processed first.
- We strive to keep the registration and testing process fair for everyone. If we notice any cheating, we will have to reject your application.
- If you are interested in applying while enrolled in another EPAM Campus program or employed at EPAM, please discuss it with your Training Coordinator or Resource Manager first.