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Technologies / Data & Analytics

Statistical analysis using Stata and R

The training offers a comprehensive approach to statistical analysis by combining the capabilities of the Stata and R environments. The program covers advanced data analysis techniques, statistical modeling and econometric methods. Through intensive workshops, participants learn to leverage the strengths of both tools in the data analysis process. Classes are taught with an emphasis on practical applications in research and business analysis.

Issues

  • Statistical analysis

  • Econometric modeling

  • Multidimensional methods

  • Time series analysis

  • Panel models

  • Nonparametric methods

  • Automation of analysis

  • Integration of tools

  • Visualize the results

  • Statistical reporting

  • Validation of models

  • Data management

Benefits

  • The participant will gain advanced skills in the use of Stata and R environments in statistical analysis
  • He or she will develop the competence to effectively combine the capabilities of both tools in research projects
  • Will acquire the knowledge to implement complex statistical and econometric models
  • Will learn methods for automating analytical processes in both environments
  • Will be able to create advanced reports combining results from different tools
  • Will develop the ability to select optimal analytical techniques for the specific problems under study

Who is this training for?

Statistical analysts
Social and economic researchers
Econometricians
Quantitative research specialists
Researchers
Financial market analysts
Data analysis experts

Prerequisites

  • Basic knowledge of statistics
  • Experience in data analysis
  • Knowledge of research methodology
  • Fundamentals of analytical programming

Training program

01

Comparison of environments

  • Data management
  • Transformations of variables
  • Descriptive statistics
  • Statistical modeling
02

Regression models

  • Analysis of variance
  • Multi-level models
  • Time series analysis
  • Advanced methods
03

Panel models

  • Survival analysis
  • Nonparametric methods
  • Multivariate analysis
04

Integration and reporting

  • Combining analyses
  • Process automation
  • Report generation
  • Visualize the results

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 Statistical analysis using Stata and R we recommend: Basic knowledge of statistics; Experience in data analysis; Knowledge of research methodology.

What is the format and duration of this training?

The training lasts 5 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: Statistical analysts; Social and economic researchers; Econometricians.

What practical skills will I gain from this training?

You will gain advanced skills in using both Stata and R for statistical analysis, learn to combine the strengths of both environments in research projects, implement complex statistical and econometric models, and automate analytical workflows across both tools.

Why use both Stata and R rather than just one tool?

Stata and R have complementary strengths — Stata is widely used in econometrics and social sciences with intuitive commands, while R excels in statistical computing and visualization with vast package ecosystems. The training teaches you when each tool provides an advantage and how to integrate them in a single workflow.

Do I receive a certificate after completing this training?

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

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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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

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