Skip to content
Technologies / Data & Analytics

Data Science Workshop — hands-on data analysis and predictive modeling

Intensive hands-on workshop focused on data analysis and building predictive models using real-world datasets. Participants work in teams on actual business challenges — from data exploration and feature engineering to model building and presenting results. The training combines theory with practice in a competitive team-based format.

Why choose this workshop?

Traditional data analysis training often stops at theory. Our workshop is an intensive, hands-on experience working with real datasets — from initial exploration to a complete predictive model with business recommendations.

Participants work in teams on a specific analytical challenge. Over 2 days, they go through the full data science project cycle: data exploration, cleaning and transformation, model building, optimization, results visualization, and presentation before a jury panel.

The competitive team-based format drives engagement and enables learning from other participants. This is practical experience that directly translates to everyday data work.

What makes our approach different?

EITT training is based on real data and business scenarios — not textbook examples. Our practitioner-trainers lead workshops using proven data methodologies applied in commercial projects.

With over 2,500 trainings in our portfolio and a 4.8/5 participant rating, EITT is a trusted partner in data science competency development. Our experts share up-to-date knowledge and tools that actually work in production environments.

Looking for a workshop based on your company’s data? Contact us — we’ll prepare a program built around your real analytical challenges.

Benefits

  • Independent data exploration and preparation (cleaning, transformation, feature engineering)
  • Building and evaluating predictive models using Python or R
  • Visualizing results and creating dashboards with key insights
  • Team-based work on an analytical challenge under time constraints
  • Presenting results and business recommendations to a panel
  • Evaluating model quality and selecting appropriate metrics

Who is this training for?

Data analysts and business analysts
Data Scientists and ML Engineers
BI and reporting developers
Data science team leaders
Professionals transitioning into data roles

Prerequisites

  • Basic knowledge of data analysis and statistical concepts
  • Experience with Python or R (basic level)
  • Understanding of machine learning fundamentals (regression, classification)
  • Familiarity with data visualization tools

Training program

01

Day 1: Data exploration and model building

  • Workshop format introduction — rules, teams, tools
  • Business challenge and dataset presentation
  • Exploratory data analysis (EDA) — distributions, correlations, missing values
  • Data cleaning and transformation — handling missing values, encoding, normalization
  • Feature engineering — creating new variables, feature selection
  • Building baseline models
02

Day 2: Optimization, visualization and presentations

  • Model optimization — hyperparameter tuning, cross-validation
  • Model comparison and best approach selection
  • Results visualization — building dashboards and charts
  • Preparing presentations with business insights and recommendations
  • Team presentations before jury — model quality, visualization, business value
  • Summary, feedback and best practices

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

Who is this workshop designed for?

The workshop is designed for data analysts, data scientists, BI developers and professionals working with data who want to develop practical skills in model building and data analysis. Required level: intermediate.

How long is the workshop?

The workshop lasts 2 days (16 hours). Available in online or on-site format.

What tools are required?

Participants work in Python (Jupyter Notebook, pandas, scikit-learn, matplotlib) or R. We set up the environment before the training.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT holds ISO 9001 accreditation.

Can the workshop be customized for our team?

Yes — we offer closed workshops dedicated to companies. We customize the program based on your team's data and challenges. Contact us for an individual quote.

Adrian Kwiatkowski
Adrian Kwiatkowski Opiekun szkolenia

Request a quote

Funding Options

Check funding options for your company

Up to 80%

Development Services Database

Up to 80% funding for SMEs from EU funds

Check availability
Up to 100%

National Training Fund

Up to 100% funding for employers

Learn more

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.

500+ experts
2500+ trainings available
ISO 9001 quality certified
Request Training
Call us +48 22 487 84 90