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

Designing analytical research
Formulating research hypotheses
Data collection methods
Results validation

Ethical aspects of data analysis
Privacy protection
Social responsibility
Research transparency

Career paths
Building portfolio
Interdisciplinary collaboration
Best professional practices

Technical report writing
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

Training Topics

Frequently asked questions

Who is the Research Methods and Professional Issues in Data Science training for?

The target audience includes Data Scientists starting their careers, data analysts developing research competencies, and scientists transitioning to Data Science. Level: intermediate.

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

The training lasts 1 day. It is delivered online or on-site.

Will I receive a certificate?

Yes — every participant receives a completion certificate confirming acquired competencies. EITT is ISO 9001 certified.

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.