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Technologies / Data & Analytics

Research Methods and Professional Issues in Data Science

One-day training focusing on research methodology and professional aspects in Data Science. The program covers both theoretical foundations of conducting scientific research in the context of data analysis and practical aspects of Data Scientist professional work. The training is conducted as interactive workshops where theory is supported by examples from real research and business projects, allowing participants to understand the practical application of research methodology in daily work.

Required Participant Preparation

  • Basic Data Science knowledge

  • Data analysis experience

  • Basic statistics knowledge

  • General knowledge of research methods

Benefits

  • Of research methodology in Data Science
  • Ability to design analytical research
  • Knowledge of ethical aspects of working with data
  • Of best professional practices
  • Ability to effectively communicate results
  • Ability to plan professional development
  • Knowledge of industry standards

Who is this training for?

Data Scientists starting their careers
Data analysts developing research competencies
Scientists transitioning to Data Science
PhD students in data analysis-related fields
Research and development specialists
Data Science team managers
Data analytics consultants

Training program

01

Designing analytical research

  • Formulating research hypotheses
  • Data collection methods
02

Results validation

  • Ethics and professional responsibility
  • Ethical aspects of data analysis
  • Privacy protection
  • Social responsibility
  • Research transparency
  • Professional development in Data Science
03

Career paths

  • Building portfolio
  • Interdisciplinary collaboration
  • Best professional practices
  • Research results communication
  • Technical report writing
04

Results presentation

  • Stakeholder collaboration
  • Research publication

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 Research Methods and Professional Issues in Data Science training for?

This training is designed for professionals looking to develop skills in research methods and professional issues in data science. Required level: intermediate.

How long is the Research Methods and Professional Issues in Data Science training?

The training lasts 1. 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.

Klaudia Janecka
Klaudia Janecka 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

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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.

500+ experts
2500+ trainings available
ISO 9001 quality certified
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