Uzbekistan
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.
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Registration closed
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Pricing
Free
Program start
November 2022
Type
Training
Language
English
Duration
14 weeks
Format
Online
Level
Beginner
Details

Prestigious world media have long made data a trend and declared it new petrol. Just as petrol, data is useless in a raw state. First, you should convert petrol into fuel, which is still quite useless by itself. Second, you need an engine to get energy from the fuel. Your data product is the engine.

Data Analytics Engineering (DAE) is the technology and tools for collecting, processing, and visualizing information, as well as organizing data warehouses. DAE experts help businesses analyze key metrics and make data-driven decisions.   

Eager to learn more about Data power and our Data Practice? Read this article and deep dive into this thriving field.

Soon we are also planning on launching training for Data Engineering (prev. Big Data) and Data Science – stay tuned! 


TRAINING PROCESS

During our course, you will learn how to transform data into high-quality information that benefits businesses and learn how to create data products.

You will have an opportunity to acquire/expand your knowledge in four major areas

  • Data Quality (validating data and data transformation at every stage of the project)
  • Data Integration (developing and supporting a wide range of data transformations and migrations)
  • Data Visualization (building interactive and complex data visualizations and analysis tools)
  • Business Intelligence (BI) Analysis (using a variety of analytics tools to analyse data and determine business performance)

The program consists of two stages:

The first one is the training course that lasts for 3 months and requires ~12 hours of workload in a week. You will explore self-study materials, complete assigned tasks and discuss your questions with EPAM mentors at regular Q&A sessions.  

If you show good results at the first stage, we will invite you to continue your studies and practice the skills acquired during the second one – EPAM Data Lab. It usually lasts for 3 months with practically full-time involvement. There you will learn to organize information, build visualization, check data quality and get acquainted with cloud technologies.  


WORK AT EPAM

Upon the program’s completion, if all the materials have been studied, homework completed and the final project successfully defended, you will receive feedback and be invited to a technical interview in the production.   

The best students will have an opportunity to receive a job offer and join the EPAM Team.


This training is available only for citizens of Uzbekistan or individuals relocated to this country. 

What is required for training:
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  • Basic knowledge of Relational Database Management System (DBMS) theory 
  • Understanding of Structured Query Language (SQL) 
  • English proficiency level from Upper-Intermediate (B2) and higher 
  • Experience in banking and technical spheres would be a benefit 
  • Readiness to join in the EPAM Data Lab after successful completion of the training (practically full time + homework) 
Useful links
  • Materials for self-preparation for Data & Analytics Engineering specialists 
  • Adam Jorgensen. Microsoft SQL Server 2012 Bible 
  • C. J. Date. Introduction to Database Systems 
  • Ralph Kimball. The Data Warehouse ETL Toolkit 
What offers EPAM data practice?
  • Global team of 3,500+ Data professionals from 50+ countries  
  • Outstanding career development roadmap to accelerate your journey 
  • Work with the world's leading brands, more than 280 of Forbes Global 2000  
  • Numerous innovative projects that deliver the most creative and cutting-edge solutions 
  • Certification and mentoring programs, trainings, and unlimited access to LinkedIn Learning
How to get started?
  1. Register on this page 
  2. Upload your up-to-date CV 
  3. Specify your interest in Data Analytics Engineering in the block "Additional information" in your profile (including reasons for choosing this training, expectations and Data knowledge that you already have) 
  4. Take the English test (your result should be B2 and above to proceed to interviews) 
  5. Start studying the preparatory online course (you should complete it by November 25 with the final result – 70% and above) 
  6. Have an interview with the recruiter 
  7. Pass a technical interview (these materials will help to better prepare) 
What will you learn?

1 STAGE. ONLINE TRAINING – 3 months 

The training course that lasts for 3 months and requires ~12 hours of workload in a week. You will explore self-study materials, complete assigned tasks and discuss your questions with EPAM mentors at regular Q&A sessions.   

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 

 

2 STAGE. DATA LAB – 3 months 

If you show good results at the first stage, we will invite you to continue your studies and practice the acquired skills during the intensive part at EPAM Data Lab. It usually lasts for 3 months with practically full-time involvement. There you will learn to organize information, build visualization, check data quality and get acquainted with cloud technologies.  

  • Python 
  • Introduction to Data Warehousing and ETL 
  • PostgreSQL DB for Data Warehouse and ETL 
  • AWS 
  • Power BI 
  • Data Quality  
  • BA
Data Analytics Engineering
November 2022 · 14 weeks
Training · Online
English
Beginner
Uzbekistan
Registration closed
Free
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