Poland
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
November 2022
Type
Training
Language
English
Duration
13 weeks
Format
Online
Level
Beginner
Details
For more than 29 years, our teams of consultants, designers, architects, and engineers have created cutting-edge digital experiences that have transformed IT. Many of the items you love and use every day were developed by our team in collaboration with world-leading companies.
EPAM believes in investing in people. We have been extending our knowledge across the globe for more than 20 years through a variety of educational initiatives that benefit people who are just starting their careers.
WHY CHOOSING DATA ANALYTICS ENGINEERING
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.
Want to learn more about Data power and our Data Practice? Read this article and dive deep 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 create data products and transform data into high-quality information for businesses.
You will have a chance to acquire and 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 analyze data and determine business performance)
The program is divided into two stages:
The first one is a three-month training program that takes about 12 hours of work per week. At routine Q&A meetings, you will examine self-study materials, complete assigned tasks, and exchange questions with EPAM mentors.
If you show good results at the first stage, we will invite you to continue your studies and practice the skills acquired during the intensive stage at Data Lab (it normally lasts for three months). There you will discover how 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 our global team of 61,600+ brilliant minds worldwide.
Please be advised that only Polish nationals or those who have relocated there and have a valid work permit for the EU are eligible for training.
PROGRAM TIMELINE AND DETAILS:
- Registration end date: 7 October 2022
- Actual training start date: 2 November 2022
- Total program duration: 24 weeks
- Format: online
What is required for training:
- Basic knowledge of Relational Database Management System (DBMS) theory
- Understanding of Structured Query Language (SQL)
- Upper-Intermediate knowledge of English (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 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+ top Data professionals from 45+ 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?
- Register on this page
- Upload your most recent resume
- 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)
- Take the English test (your result should be B2 and above to proceed)
- Have an interview with the recruiter
- 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 QA 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 INTERNSHIP
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). 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
- BIA
Please, read this additional info prior to registration
Here is some additional, but important information:
- Acting participants of ЕРАМ University are not allowed to register for the training. Please contact your Manager regarding the positions available.
- Training is available only for people located in Poland.
- Training's Start Date may change. The selection period will change accordingly. Please follow the program details.
- The assessment results will be a deciding factor in enrollment because there are only a limited number of places available for this training.
- In order to work at EPAM after the training, non-EU citizens must be able to access the Polish labor market without restriction and must present EPAM with one of the following documents:
- permanent residence permit (zezwolenie na pobyt stały)
- EU long-term residence permit (zezwolenie na pobyt rezydenta długoterminowego Unii Europejskiej)
- temporary residence permit, granted in relation to your reunion with your family staying in Poland legally, or in relation to graduation form Polish full-time studies (zezwolenie na pobyt czasowy, na podstawie połączenia z rodziną legalnie przebywającą w Polsce lub na podstawie ukończenia studiów stacjonarnych)
- refugee status (based on the decision of the Office of Foreigners) (status uchodźcy)
- subsidiary protection status (based on the decision of the Office of Foreigners) (ochrona uzupełniająca)
- humanitarian residence permit or a permit for tolerated stay (zgoda na pobyt ze względów humanitarnych lub zgoda na pobyt tolerowany)
- temporary residence permit based on marriage to a Polish citizen (zezwolenie na pobyt czasowy na podstawie związku małżeńskiego z obywatelem polskim)
Data Analytics Engineering
November 2022 · 13 weeks
Training · Online
English
Beginner
Poland
Free
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