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Technologies / Data & Analytics

Data analysis from the ground up

The training introduces participants to the world of data analysis, focusing on the practical use of analytical tools and techniques. The program combines theoretical lectures with intensive practical workshops, during which participants work on real data sets. Classes are conducted in an interactive format, with an emphasis on solving practical analytical problems.

Issues

  • CRISP-DM methodology in data analysis

  • Data cleaning and preparation techniques

  • Descriptive statistics and statistical inference

  • Data visualization and dashboard creation

  • Predictive modeling

  • Time series analysis

  • Validation of analytical models

  • Reporting and presentation of results

  • Data warehouses and analytical databases

  • Python/R in data analysis

  • Business Intelligence Tools

  • Ethics in data analysis

Benefits

  • The participant will gain the ability to independently carry out a complete data analysis process from data acquisition to presentation of results
  • Will develop practical skills in preparing and cleaning data for further analysis
  • Will learn to apply appropriate statistical techniques to solve real business problems
  • Will gain the knowledge to effectively interpret and present analysis results
  • Will be able to identify and correct data quality problems
  • Will master the basics of data visualization and creating compelling analytical reports

Who is this training for?

Business analysts starting to work with large data sets
Reporting professionals looking to expand their competencies
Programmers interested in data analysis
BI staff implementing new analytics solutions
Analytical project managers
Subject matter experts looking to understand data analysis processes
Data scientists starting their careers in the industry

Prerequisites

  • Basic knowledge of mathematics at the high school level
  • Ability to think logically and solve problems
  • Basic knowledge of spreadsheets
  • Knowledge of basic statistics will be an added advantage

Training program

01

Basic concepts and definitions in data analysis

  • Data analysis process from acquisition to visualization
  • Data types and their characteristics
  • Data quality and methods to improve it
02

Data preparation and cleaning

  • Techniques for importing data from various sources
  • Identification and handling of missing values
  • Normalization and standardization of data
03

Transformation of variables

  • Exploratory analysis
  • Descriptive statistics and their interpretation
  • Visualization of variable distributions
  • Correlation and dependency analysis
04

Detection of outliers

  • Advanced analysis techniques
  • Fundamentals of statistical modeling
  • Dimensionality reduction techniques
05

Methods of grouping data

  • Basics of forecasting

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?

For Data analysis from the ground up we recommend: Basic knowledge of mathematics at the high school level; Ability to think logically and solve problems; Basic knowledge of spreadsheets.

What is the format and duration of this training?

The training lasts 6 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: Business analysts starting to work with large data sets; Reporting professionals looking to expand their competencies; Programmers interested in data analysis.

What practical skills will I gain from this training?

You will gain the ability to independently carry out the complete data analysis process — from data acquisition and cleaning, through applying statistical techniques, to presenting results. You will be able to identify data quality issues and correct them effectively.

Do I receive a certificate after completing this training?

Yes, upon successful completion you receive an EITT certificate confirming your skills in data analysis. The certificate is recognized by employers in the IT industry.

Can this training be customized for our organization?

Yes, we offer customized versions of this training tailored to your organization's specific needs, technology stack, and skill levels. Contact us to discuss a personalized program.

Kamil Gabryszewski
Kamil Gabryszewski 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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