Szczecin

Biuro Aloha, Jerzego Janosika 17, Szczecin, Poland, 71-424

The training room is fully equipped, providing all necessary amenities for participants. Additionally, it has attractive transportation connections to all strategic points of the city, facilitating access for both residents and visitors. It is located just 3 kilometers from the city center, allowing for quick access to other important urban locations and amenities.

Koszalin

Gwardia, Sportowa 34, Koszalin, Poland, 75-503

The training room is equipped with full modern amenities. It is located 3 kilometers from the city center. The facility features ample parking space for training participants, ensuring convenient access for all attendees.

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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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