• Education within an IT company. As a leading software engineering company, we will help you explore emerging technologies and best practices, ensuring you are equipped with the knowledge that the current market seeks.
• Top-notch learning materials. Our curriculum is designed by Data & Analytics specialists with extensive project experience and validated in hundreds of 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.

The program consists of two stages: 

• The first one lasts 3 months and requires ~15 hours of weekly engagement. You will explore self-study materials, complete assigned tasks and discuss your questions with EPAM mentors at weekly group Q&A sessions. 
• If you show good results and successfully pass a technical interview, we will invite you to the next stage. It usually lasts 3.5 months and requires ~30 hours of weekly engagement. You will learn to organize information, build visualization, check data quality and get acquainted with cloud technologies. 

Upon program completion, you may be able to continue your career path according to demonstrated skills and available opportunities at EPAM. 

Stage 1: 3-month journey

DB Basics

• Data. Database. DBMS 
• DB Components 
• DB Modeling 
• Normalization 

SQL Fundamentals

• SELECT Statement
• DML Statements (Data Manipulation Language) 
• TCL Statements (Transaction Control Language) 
• DDL Statements (Data Definition Language) 
• DCL Statements (Data Control Language) 

SQL for Analysis

• Introduction to OLAP. OLAP vs OLTP 
• Window Functions / Frames

Technical Interview

Stage 2: 3.5-month journey

• Python 
• Introduction to Data Warehousing and ETL 
• PostgreSQL DB for Data Warehouse and ETL 
• DWH/ETL Live Project Presentation (Practice and Theory)
• AWS 
• Power BI 
• Data Quality  
• Databricks
• BIA

Technical Interview

Upon program completion, a world of opportunities awaits you! You will be equipped with the skills and knowledge to pursue your career path in alignment with your demonstrated expertise and available opportunities at EPAM. 

• This training is for citizens of Armenia and specialists relocated to this country for a permanent stay.
• Only those who have completed their university studies or are in their final year can apply for this training process.
• 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 external course is not available for current participants of EPAM Training Center and EPAM employees. Feel free to contact your Training Coordinator or Resource Manager regarding other opportunities.
• Considering the limited number of places in the group for this program, the selection results will be decisive factors for being enrolled.

• Materials for self-preparation for Data & Analytics specialists
• English levels & resources for learners (A1-C1)
• Adam Jorgensen. Microsoft SQL Server 2012 Bible
• Ralph Kimball. The Data Warehouse ETL Toolkit

Insightful video materials:

• Shaping Career as a Data Analytics Engineer (EN)
• Growing to Data Analytics Engineer (EN)
• Easy Data Quality: Everything You Need to Know (EN)

Look for more tips and useful links for your IT career start in our Telegram channel. 

Lilit Abrahamyan, Junior Software Engineer at EPAM

"I highly recommend this program to anyone interested in Data Analytics Engineering. It offers valuable opportunities to learn about new technologies and enhance problem-solving skills through real-world scenarios. The supportive mentoring team fostered independent thinking and empowered us to find unique solutions. It's a transformative learning experience with an amazing community cheering you on."

Yevgenia Petrosyan, Junior Data Quality Engineer at EPAM

"The Data Analytics Engineering course provided practical insights into key concepts for data manipulation, analysis and interpretation. The tasks were engaging and challenging, and the mentors' feedback was invaluable. It's a great starting point for those interested in a career in this field."

Asset Temergaliyev, Junior Software Engineer at EPAM

"EPAM's Data Analytics & Engineering program exceeded my expectations. Now, as a member of the Data Analytics and Visualization team, I feel confident in my chosen path. The hands-on learning, teamwork and mentor guidance have been invaluable for my professional growth. I highly recommend EPAM's training program for those seeking an exciting and rewarding learning experience."