NobleProg delivers high-quality R Language training courses in Berlin, the dynamic heart of Germany's tech and innovation sector. Participants benefit from expert-led instruction tailored to the professional needs of the capital's diverse industry landscape. Join our Berlin-based programs to enhance your skills with hands-on learning experiences in a world-class urban environment.
Delivered either online or on-site, our live, instructor-led R (R Language) training programs combine hands-on practice with comprehensive coverage of the language. The curriculum spans the fundamentals of R programming, advanced techniques, and specialized applications in Data Analysis and Data Visualization. Our exercises are grounded in real-world scenarios, addressing practical challenges in sectors such as Finance, Banking, and Insurance. NobleProg’s R training portfolio encompasses a range from beginner to advanced levels, making it a preferred choice for organizations seeking to adopt R for building Machine Learning and Deep Learning applications.
R training is offered as either "online live training" or "onsite live training". Online live training (also referred to as "remote live training") utilizes an interactive remote desktop environment. Onsite live training is available locally at customer premises in Berlin or within NobleProg’s corporate training centers in Berlin.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led training in Berlin focuses on the fundamentals of R Markdown for creating dynamic, reproducible reports. It empowers R users to build documents with code chunks, render outputs to HTML, PDF, and Word, and utilize parameterized reports, themes, and LaTeX styling to achieve professional, automated documentation.
This live, instructor-led training, available Berlin online or onsite, is tailored for data analysts and those keen on learning to integrate Tableau, Python, R, and SQL for data visualization and analysis.
By the end of the session, participants will be equipped to:
Execute data analysis with Python, R, and SQL.
Derive insights through Tableau data visualization.
Inform business operations with data-driven decisions.
This instructor-led, live training in Berlin (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:
Understand the basics of Python, R, Power Query, and Power BI for data analysis.
Clean and organize datasets using Python and Power Query.
Perform statistical analysis and projections with R.
Create professional dashboards and reports with Power BI.
Integrate and analyze data from multiple sources effectively.
This instructor-led Shiny training in Berlin enables intermediate R users to develop interactive web applications without JavaScript. Master the design of reactive UIs, integration of data visualizations, and application deployment. Acquire practical skills for efficiently creating dynamic dashboards and reports.
This live, instructor-led training, delivered in Berlin (either online or onsite), is designed for intermediate to advanced computer science professionals who intend to utilize Stata for statistical analysis and integrate it with R.
By the conclusion of this program, participants will have the ability to:
Apply Stata effectively for data analysis and statistical modeling.
Contrast the capabilities of Stata against SPSS and R.
Combine Stata and R for cohesive statistical computing.
Construct and automate workflows that leverage both Stata and R.
This hands-on course in Berlin focuses on R fundamentals, data preparation, and visualization using packages such as ggplot2. Over the course of three days, participants will explore statistical modeling, regression, and machine learning techniques, including clustering and classification, utilizing real-world data.
This hands-on Berlin course establishes core data analytics capabilities using Excel, VBA, and R. Learners will master data manipulation, visualization, and machine learning methods to predict trends, refine processes, and drive informed business decisions.
This instructor-led, live training in Berlin (delivered online or onsite) targets intermediate-level advanced R users who wish to leverage R to build faster workflows, improve code quality, and tackle complex analysis tasks.
By the end of the training, participants will be capable of: creating reusable functions, optimizing data workflows, debugging and enhancing code performance, and producing reproducible reports.
Discover the essentials of Big Data programming using R, a staple language in the finance sector. This course within Berlin addresses environment configuration, MPI for parallel processing, and distributed matrices. You will learn to manage large datasets, execute distributed regression, and implement Monte Carlo methods with efficiency.
This instructor-led live training session, conducted at Berlin (either online or on-site), is specifically designed for entry-level data analysts who aim to utilize R programming for data manipulation, basic analysis, and creating impactful data visualizations.
By the conclusion of the training, participants will be able to:
This live, instructor-led training session in Berlin (available online or on-site) is tailored for data scientists aiming to integrate Python and R programming within KNIME.
By the end of this training, participants will have the capability to:
Design, build, and deploy machine learning models using KNIME.
Utilize data-driven insights to guide operational decisions.
Manage and execute end-to-end data science projects.
This live, instructor-led training—delivered either online or on-site—is tailored for data analysts aiming to harness Stata and R for the statistical analysis of big data.
By the end of the program, participants will be able to:
Construct statistical models to predict key variables and events.
Create descriptive visualizations, summary tables, and frequency reports.
Manage and structure large databases to prepare them for analysis.
This course in Berlin enables R users to create web applications with Shiny, eliminating the need for advanced HTML or CSS knowledge. It explores core principles, UI customization, sophisticated reactive features, and data distribution, offering practical insights for building dynamic and interactive data applications.
This live, instructor-led training in Berlin, available both online and on-site, is crafted for intermediate-level data analysts and business professionals looking to excel in time series forecasting and automate data analysis workflows through R.
By the end of this session, participants will be able to:
Understand the fundamentals of forecasting techniques in R.
Apply exponential smoothing and ARIMA models for time series analysis.
Utilize the 'forecast' package to generate accurate forecasting models.
Automate forecasting workflows for business and research applications.
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Testimonials (6)
I finally understood the idea of the pipes and how to use R in our work context.
Katrin Groth - Senatsverwaltung fur Bildung, Jugend und Familie
Course - Data Analytics With R
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
knowledge of the trainer, tailor based, all topics covered
eleni - EUAA
Course - Forecasting with R
Trainer was good. Had a good rapport with him. Was able to ask him anything and was knowledgeable.
Pranay - Lotterywest
Course - Building Web Applications in R with Shiny
Very practical
Deenan - Vodacom
Course - Data and Analytics - from the ground up
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
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