Zamość

Ośrodek Sportu i Rekreacji , Królowej Jadwigi 8 , Zamość, Poland, 22-400

The training room, located in the central part of Zamość, serves as an ideal venue for workshops. Its strategic location makes it easily accessible to participants from various parts of the city and neighboring towns. Additionally, this room stands out with its rich equipment, enabling the conduct of courses in an efficient and professional manner.

Lublin

Hotel Trzy Róże, Zemborzyce Dolne 96a, Lublin, Poland, 20-515

The training rooms are equipped with modern audiovisual equipment, enabling effective presentations and interactive training sessions. Additionally, there is fast and reliable internet available, facilitating easy access to online materials and communication with the training team. The facility is located just 9 kilometers from the center of Lublin. Situated on the main S19 route towards Kraśnik, it provides convenient access from Rzeszów, Warsaw, Łódź, and Białystok. Thanks to this central location, participants can quickly and comfortably reach the training venue, further easing event organization and ensuring participant comfort.

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Explore Our Courses

Data Analytics with Tableau, Python, R, and SQL

35 Hours

Data Analysis with Python, R, Power Query, and Power BI

21 Hours

Statistical Analysis with Stata and Integration with R

35 Hours

Data Analytics With R

21 Hours

Data and Analytics - from the ground up

42 Hours

NLP: Natural Language Processing with R

21 Hours

R Programming for Excel

21 Hours

R Programming for Finance

28 Hours

Advanced R

14 Hours

Algorithmic Trading with Python and R

14 Hours

Programming with Big Data in R

21 Hours

Introductory R (Basic to Intermediate)

14 Hours

Cluster Analysis with R and SAS

14 Hours

Data Mining with R

14 Hours

Data Mining & Machine Learning with R

14 Hours

Foundation R

7 Hours

Introduction to R with Time Series Analysis

21 Hours

KNIME with Python and R for Machine Learning

14 Hours

Marketing Analytics using R

21 Hours

Predictive Modelling with R

14 Hours

Advanced Machine Learning with R

21 Hours

Introductory R for Biologists

28 Hours

R

21 Hours

Neural Network in R

14 Hours

Advanced R Programming

7 Hours

R Programming for Data Analysis

14 Hours

Shiny, R and HTML: Merging Data Science and Web Development

7 Hours

Statistical Analysis with Stata and R

35 Hours

Data Science with Tableau and R Programming

14 Hours

Introduction to Data Visualization with Tidyverse and R

7 Hours

Building Web Applications in R with Shiny

7 Hours

Forecasting with R

14 Hours

R for Data Analysis and Research

7 Hours

Introduction to R

21 Hours

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