Poland
Data & Analytics Online Training
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
Mar 2022
Type
Training
Language
English
Duration
13 weeks
Format
Online
Level
Fundamentals
Details

WHY CHOOSE THIS TRAINING

Our teams of technologists, strategists and designers for more than 28 years deliver powerful digital experiences and introduce IT. Working with world-leading companies, we’ve played a part in developing many of the products you love and use every day. 

We encourage our current and future employees to grow and actively invest in the education of young professionals and provide special support to those who are just starting their careers. Would you like to level up your skills and become a top-level Data Analytics Engineering, Data Quality Engineer and BI Analyst?

Data & Analyst direction is not just about collecting data but it is a scope of technologies and tools for data processing, data warehousing, and visualizing information for timely managerial decision-making purposes.


WHAT AWAITS YOU

During the free training, you will learn how to transform data into high-quality information that profits businesses and learn how to create data products.

We will allow you to acquire and expand your knowledge in 4 main fields:

  • Development of DataBases, Data Warehouses, ETL process, Cloud
  • Reporting and Visualization
  • Data Quality
  • Business Analysis in Data


More detailed in the articles: #BUSINESSINTELLIGENCE and #DATAENGINEERING


The course consists of two parts – self-study and traineeship in the laboratory.

The final stage will be a technical interview to get a job offer to EPAM Poland.

 

What should you do after applying?

  1. Take an English test on your profile. First, we will contact candidates who have an English proficiency test score of B2 or higher
  2. Pass a preliminary telephone interview with a recruiter
  3. Pass a technical pre-screening interview (upon successful pre-interview)
  4. Expect the results

  

Time schedule:

  1. Registration end day (extended): 09.02.2022
  2. Program Start Day: by 1.03.2022


Please be aware that training is available only for residents of Poland.

Considering the limited number of slots for this training, the order of application and the assessment results will be decisive factors in being enrolled. 

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 is required for training:
training-is-for-you
  • Basic knowledge of Relational Database Management System (DBMS) theory
  • Understanding of Structured Query Language (SQL)
  • English proficiency level from Upper-Intermediate (B2) and higher
  • Knowledge of programming languages would be a benefit (Python, JavaScript, C#) 
  • Experience in banking and technical spheres would be a benefit
  • Readiness to start a traineeship in Data Lab after successful completion of the training (full time + homework)
Useful links


To consolidate skills, you may use:

  • Materials for self-preparation for Data Engineer 
  • Adam Jorgensen. Microsoft SQL Server 2012 Bible
  • C. J. Date. Introduction to Database Systems
  • Ralph Kimball. The Data Warehouse ETL Toolkit
  • Data Zen Community
What will you learn?

1 STAGE. ONLINE TRAINING – 2.5 - 3 months 

At this stage, participants independently study carefully selected materials, complete assignments, communicate with EPAM experts, and then pass theory tests and analyze complex problems with mentors. 

DB BASICS 

  1. Data. Database. DBMS 
  2. DB Components 
  3. DB Modeling 
  4. Normalization 

 

SQL FUNDAMENTALS 

  1. SELECT statement 
  2. DML Statements (Data Manipulation Language) 
  3. TCL Statements (Transaction Control Language) 
  4. DDL Statements (Data Definition Language) 
  5. DCL Statements (Data Control Language) 

 

SQL FOR ANALYSIS 

  1. Introduction to OLAP. OLAP vs OLTP 
  2. Window Functions 

 

2 STAGE. DATA & ANALYTICS LAB – 3 months 

After confirming your knowledge, you can put it into practice by continuing your traineeship at Data Lab. In the laboratory, you will learn to organize information, build visualization and check data quality, get acquainted with the cloud technologies. 

  1. Python 
  2. Introduction to Data Warehousing and ETL 
  3. PostgrSQL DB for Data Warehouse and ETL 
  4. AWS 
  5. Power BI 
  6. Data Quality
  7. BA
Data & Analytics Online Training
Mar 2022 · 13 weeks
Training · Online · Fundamentals
English
Poland
Registration closed
Free
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