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Technologies / Data & Analytics

Big Data and Data Science

This training provides intensive introduction to the world of Data Science in the Big Data context, combining theoretical fundamentals with practical application. The program is structured so that participants can understand key Data Science concepts and their implementation in large dataset environments. Sessions are conducted in workshop format, where each theoretical topic is immediately verified through practical exercises on real datasets. The teaching methodology focuses on building comprehensive understanding of the data analysis process, from initial exploration to advanced modeling.

Required Participant Preparation

  • Basic knowledge of statistics

  • Programming ability in any language

  • Understanding of basic analytical concepts

  • Logical analytical thinking

Benefits

  • After completing the training, participants will be able to independently conduct data analysis process according to Data Science methodology
  • They will gain ability to select and apply appropriate analytical tools to specific business problems
  • They will learn to effectively prepare and transform data for analysis
  • They will be able to build and evaluate statistical models on large datasets
  • They will learn methods for effective communication of analysis results to different audiences
  • They will gain ability to identify potential Data Science applications in their area of activity
  • They will master basics of implementing analytical solutions in production environment

Who is this training for?

Data analysts starting work with Big Data
Programmers interested in Data Science
Business specialists wanting to expand analytical competencies
Scientists transitioning to industry
Data engineers
Analytical team managers
Digital transformation consultants
Technical and analytical students

Training program

01

Knowledge discovery process from data

  • Data-driven research methodology
  • Data preparation and cleaning
  • Exploratory data analysis
02

Statistical Modeling

  • Basic statistical models
  • Machine learning techniques
03

Model validation

  • Results interpretation
  • Tools and Technologies
  • Data Science ecosystem
04

Analytical libraries

  • Development environments
05

Computing platforms

  • Solution Deployment
  • From prototype to production
  • Good implementation practices
06

Model monitoring

  • Results communication

Delivery Methods

Online

  • Convenience of participating from anywhere
  • Interactive live sessions with trainer
  • Materials available for 30 days
  • No travel costs

On-site

  • Direct contact with trainer and group
  • Intensive hands-on workshops
  • Networking with other participants
  • Full focus on learning

Frequently asked questions

What are the prerequisites for this training?

The Big Data and Data Science training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 2 days and is available in online and on-site format. Sessions run from 9:00 AM to 4:00 PM. We can also customize the schedule to fit your team's needs.

Who is this training designed for?

This training is designed for: Data analysts starting work with Big Data; Programmers interested in Data Science; Business specialists wanting to expand analytical competencies.

Klaudia Janecka
Klaudia Janecka Opiekun szkolenia

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Funding Options

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Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

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Up to 100%

National Training Fund

Up to 100% funding for employers

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Trusted by

We train teams at Poland's largest companies

ING Bank - EITT client
mBank - EITT client
PKO Bank Polski - EITT client
PZU - EITT client
Allianz - EITT client
T-Mobile - EITT client
KGHM - EITT client
PGE - EITT client
IKEA - EITT client
InPost - EITT client
Leroy Merlin - EITT client
ZUS - EITT client

Interested in this training?

Contact us - we'll prepare an offer tailored to your organization's needs.

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