Katowice

Centrum Szkoleniowe Moniuszki 7, Moniuszki 7, Katowice, Poland, 40-004

The training room is located in the heart of Katowice. Its attractive location in the city center guarantees easy access for all participants. The main railway station is just 500 meters away from our venue, and bus and tram stops are only 100 meters away. Additionally, it has excellent connections to the outbound route towards the A4 motorway to Krakow - Wroclaw and Pyrzowice Airport, making it an ideal venue for participants arriving from various parts of Poland and abroad.

Częstochowa

Częstochowa Industrial and Technological Park, Wały Dwernickiego 117/121, Częstochowa, Poland, 42-202

The training room, located in a convenient location near the city center, in the Tysiąclecia district. Its close proximity to the PKP railway station and the PKS bus station makes it exceptionally convenient for all participants traveling by both train and bus. Additionally, the room is equipped with air conditioning, Wi-Fi internet, a projector, a built-in screen, a flipchart, and an audio mixer, providing conducive conditions for effective training delivery and participant comfort.

Bielsko-Biała

ZIAD, Armii Krajowej 220, Bielsko Biała, Poland, 43-316

NobleProg training rooms in Bielsko-Biała are located in the ZIAD building on the ground floor (Zakład Informatyki, Automatyki i Doskonalenia Zawodowego (on Aleja Armii Krajowej 220 a. ZIAD buildings are located at the foot of the Szyndzielnia slope.) The building has a ramp for disabled people From the bus station, go to the Warszawska Dworzec station, north (on the same side as the bus station) Bus number 8 in the direction of Szyndzielnia goes about 22 minutes (9 stops). The target stop is the Home Army ZIAD, which I am located 400 meters from the ZIAD training room, in the same way, you can get to ZIAD from the Bielsko Biała Główna railway station.

Gliwice

Zwycięstwa 10, Gliwice, Poland, 44-100

The entrance to the facility is located on Dolnych Wałów Street. The rooms are situated in the center of Gliwice, just a 2-minute walk from the market square and 5 minutes from the train station. Access from the bus station is possible by bus lines number: 187, 702, 692. There is also an option for parking at a paid parking lot on the main street.

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Tidyverse

Tidyverse

Explore Our Courses

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This instructor-led, live training in śląskie (online or onsite) is aimed at data analysts and anyone who is interested to learn how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis. By the end of this training, participants will be able to:
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Data Analysis with Python, R, Power Query, and Power BI

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This instructor-led, live training in śląskie (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools. By the end of this training, participants will be able to:
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Statistical Analysis with Stata and Integration with R

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Data Analytics With R

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R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students.  It covers language fundamentals, libraries and advanced concepts.  Advanced data analytics and graphing with real world data. Audience Developers / data analytics Duration 3 days Format Lectures and Hands-on
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Data and Analytics - from the ground up

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Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim is to help delegates to give evidence-based answers to questions:  What has happened?
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What will happen?
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What should happen?
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The course itself can be delivered either as a 6 day classroom course or remotely over a period of weeks if preferred. We can work with you to deliver the course to best suit your needs.
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NLP: Natural Language Processing with R

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R Programming for Excel

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R Programming for Finance

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R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems. In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems. By the end of this training, participants will be able to:
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Audience
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Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
Note
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Advanced R

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This course covers advanced topics in R programming.
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Algorithmic Trading with Python and R

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Programming with Big Data in R

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Introductory R (Basic to Intermediate)

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Cluster Analysis with R and SAS

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Data Mining with R

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KNIME with Python and R for Machine Learning

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Marketing Analytics using R

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Introductory R for Biologists

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Advanced R Programming

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R Programming for Data Analysis

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

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Statistical Analysis with Stata and R

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Introduction to Data Visualization with Tidyverse and R

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Audience
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Format of the course
  • Part lecture, part discussion, exercises and heavy hands-on practice
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Building Web Applications in R with Shiny

 7 Hours
Description:  This is a course designed to teach R users how to create web apps without needing to learn cross-browser HTML, Javascript, and CSS. Objective: Covers the basics of how Shiny apps work. Covers all commonly used input/output/rendering/paneling functions from the Shiny library.
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Forecasting with R

 14 Hours
This instructor-led, live training in śląskie (online or onsite) is aimed at intermediate-level data analysts and business professionals who wish to perform time series forecasting and automate data analysis workflows using R.By the end of this training, participants will be able to:
  • Understand the fundamentals of forecasting techniques in R.
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R for Data Analysis and Research

7 Hours
Audience
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Introduction to R

 21 Hours
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining. This course covers the manipulation of objects in R including reading data, accessing R packages, writing R functions, and making informative graphs. It includes analyzing data using common statistical models. The course teaches how to use the R software (https://www.r-project.org) both on a command line and in a graphical user interface (GUI).
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Testimonials (17)

it was informative and useful

Brenton - Lotterywest

Course - Building Web Applications in R with Shiny

Many examples and exercises related to the topic of the training.

Tomasz - Ministerstwo Zdrowia

Course - Advanced R Programming

I genuinely enjoyed the hands passed exercises.

Yunfa Zhu - Environmental and Climate Change Canada

Course - Foundation R

The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.

Rhian Hughes - Public Health Wales NHS Trust

Course - Introduction to Data Visualization with Tidyverse and R

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

Course - Introduction to R with Time Series Analysis

It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.

Sonja Steiner - BearingPoint GmbH

Course - R Programming for Data Analysis

I really enjoyed the knowledge of the trainer.

Stephanie Seiermann

Course - R

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training meeting clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!.

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course - Programming with Big Data in R

A lot of knowledge - theoretical and practical.

Anna Alechno

Course - Forecasting with R

I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.

Luke Pontin

Course - Data and Analytics - from the ground up

The flexible and friendly style. Learning exactly what was useful and relevant for me.

Jenny

Course - Advanced R

I liked the new insights in deep machine learning.

Josip Arneric

Course - Neural Network in R

I genuinely enjoyed working 1:1 with Gunner.

Bryant Ives

Course - Introduction to R

The trainer was so knowledgeable and included areas I was interested in.

Mohamed Salama

Course - Data Mining & Machine Learning with R

Much to explore after the training

Klaudia Klebek

Course - Data Mining z wykorzystaniem R

Machine Translated

I get answers on all my questions.

Natalia Gladii

Course - Data Analytics With R

He was very informative and helpful.

Pratheep Ravy

Course - Predictive Modelling with R

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