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Technologies / Data & Analytics

Data Science in business - from theory to practice

Intensive workshop training in the practical use of data science in a business environment. The program covers the full cycle of a data science project, from data collection and preparation, through modeling and analysis, to implementation of solutions in a production environment. Classes are conducted in a workshop format using real business cases and current industry tools.

Issues

  • CRISP-DM methodology

  • Data preparation

  • Exploratory data analysis

  • Machine learning

  • Predictive models

  • Validation of models

  • Implementing solutions

  • Process automation

  • Data visualization

  • Project management

  • Data science tools

  • Communication of results

Benefits

  • Gain practical skills in implementing data science projects in a business environment
  • About methodologies and best practices in business data analytics
  • Acquire competence in the area of preparing and implementing analytical models
  • Visualization and communication of analytical results
  • To understand how to effectively use data science tools in business practice
  • Gain the ability to manage the full life cycle of a data science project

Who is this training for?

Data analysts getting started in data science
Business intelligence specialists
Programmers interested in data analysis
Business analysts
Data science project managers
Research and development specialists
Data engineers

Prerequisites

  • Basic knowledge of programming
  • Knowledge of descriptive statistics
  • Experience in data analysis
  • Basic knowledge of machine learning

Training program

01

CRISP-DM methodology

  • Preparing the work environment
02

Tools and libraries

  • Sources of business data
  • Data processing and analysis
  • Data cleaning and transformation
  • Exploratory data analysis
03

Feature engineering

  • Data visualization
  • Modeling and evaluation
  • Machine learning algorithms
04

Predictive models

  • Validation of models
  • Interpretation of results
  • Implementing solutions
  • Preparing the model for production
05

Process automation

  • Performance monitoring
  • Data science project management

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 the Data Science in business - from theory to practice training for?

This training is designed for professionals looking to develop skills in data science in business - from theory to practice. Required level: intermediate.

How long is the Data Science in business - from theory to practice training?

The training lasts 5. Available in online or on-site format.

Will I receive a certificate?

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

Can this training be conducted for a closed group?

Yes — we offer dedicated closed trainings for companies. We customize the program to your team's needs. Contact us for an individual quote.

Bożena Machowska-Worek
Bożena Machowska-Worek Opiekun szkolenia

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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
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Call us +48 22 487 84 90