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Technologies / Data & Analytics

Exploratory Data Analysis

The training introduces participants to the world of exploratory data analysis, teaching a systematic approach to understanding and interpreting datasets. The workshop program is designed so that participants can learn and practice preliminary analysis techniques, pattern discovery, and anomaly identification in data. Classes combine statistical theory with practical examples, allowing participants to immediately apply acquired knowledge in real analytical scenarios. Practical workshops constitute 70% of training time.

Required Participant Preparation

  • Basic knowledge of descriptive statistics

  • Experience working with tabular data

  • Understanding of basic analytical concepts

  • Knowledge of data visualization basics

Benefits

  • Ability to systematically analyze datasets
  • Ability to identify key patterns and trends
  • Knowledge of effective data visualization techniques
  • Ability to detect anomalies and outliers
  • Practical knowledge of preparing data for analysis
  • Ability to formulate data-driven conclusions
  • Skills in creating compelling result presentations

Who is this training for?

Beginning data analysts
Business intelligence specialists starting work with data
Reporting department employees
Persons responsible for dashboard preparation
Business analysts wanting to develop analytical skills
Marketing specialists interested in data analysis
Controlling and finance department employees

Training program

01

Systematic data exploration methodology

  • Preliminary visualization techniques
  • Distribution and basic statistics analysis
  • Missing and outlier value identification
  • Visualization and analysis techniques
  • Selecting appropriate charts for data types
  • Correlation and dependency analysis
02

Pattern and trend detection

  • Interactive exploration methods
03

Practical applications

  • Data preparation for analysis
04

Building data-driven stories

  • Creating compelling visualizations
  • Analysis result interpretation
  • Conclusions and recommendations
  • Formulating hypotheses based on data
  • Result presentation techniques
05

Creating actionable insights

  • Communicating results to stakeholders

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 Exploratory Data Analysis training does not require specialized prior knowledge. Basic IT knowledge is sufficient.

What is the format and duration of this training?

The training lasts 1 day 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: Beginning data analysts; Business intelligence specialists starting work with data; Reporting department employees.

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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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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