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Leipzig

NobleProg Leipzig, Arthur Hoffmann Str., Leipzig, germany, 04107

Overview

Our training facilities are located at Arthur Hoffmann Str. in Leipzig. Our spacious classrooms are centrally located near the university and offer optimal training conditions for your needs.

Arrival

The NobleProg training facilities are conveniently located near the Bayerischer Bahnhof S-Bahn station. In the north you reach the motorway A41, in the south the motorway A38.

Parking

You will find numerous parking spaces around our training rooms.

Local Services

You will find numerous parking spaces around our training rooms.

Explore Our Courses

R Markdown for Dynamic Documents and Reproducible Reporting

 14 Hours

R Markdown is an authoring framework that combines executable R code with narrative text to create dynamic and reproducible documents.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level R users who wish to generate automated, dynamic reports using R Markdown for internal documentation, research publications, or web publishing.

By the end of this training, participants will be able to:

  • Create R Markdown documents with embedded R code chunks and formatted text.
  • Generate outputs in multiple formats including HTML, PDF, and Word.
  • Use parameterized reports and conditional logic to generate dynamic content.
  • Customize document appearance with themes, templates, and LaTeX for professional presentation.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Data Analytics with Tableau, Python, R, and SQL

 35 Hours

This instructor-led, live training in Leipzig (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:

  • Perform data analysis using Python, R, and SQL.
  • Create insights through data visualization with Tableau.
  • Make data-driven decisions for business operations.
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Data Analysis with Python, R, Power Query, and Power BI

 21 Hours

This instructor-led, live training in Leipzig (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.
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Shiny App Web Development with R

 14 Hours

Shiny is an R package that enables users to build interactive and dynamic web applications directly from R, without requiring knowledge of JavaScript or complex web frameworks.

This instructor-led, live training (online or onsite) is aimed at intermediate-level R users who wish to build and deploy custom web applications using Shiny for data visualization, user interaction, and reporting.

By the end of this training, participants will be able to:

  • Create interactive web applications using Shiny and R.
  • Design user interfaces with reactive elements and dynamic inputs.
  • Incorporate data visualizations and reporting features into Shiny apps.
  • Deploy and share Shiny apps locally or online via Shiny Server or Posit Cloud.

Format of the Course

  • Interactive lecture and discussion.
  • Lots of exercises and practice.
  • Hands-on implementation in a live-lab environment.

Course Customization Options

  • To request a customized training for this course, please contact us to arrange.
Read more...

Statistical Analysis with Stata and Integration with R

 35 Hours

This instructor-led, live training in Leipzig (online or onsite) is aimed at intermediate-level to advanced-level computer science professionals who wish to leverage Stata for statistical analysis and integrate it with R.

By the end of this training, participants will be able to:

  • Effectively use Stata for data analysis and statistical modeling.
  • Compare Stata’s functionalities with SPSS and R.
  • Integrate Stata with R for seamless statistical computing.
  • Develop and automate workflows using Stata and R.
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Data Analytics With R

 21 Hours

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

42 Hours

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?

  • processing and analyzing data
  • producing informative data visualizations

What will happen?

  • forecasting future performance
  • evaluating forecasts

What should happen?

  • turning data into evidence-based business decisions
  • optimizing processes
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Advanced R

 14 Hours

This instructor-led, live training in Leipzig (online or onsite) is aimed at intermediate-level advanced R users who wish to use R to build faster workflows, improve code quality, and handle more complex analysis tasks.

By the end of this training, participants will be able to: create reusable functions, improve data workflows, debug and optimize code, and produce reproducible reports.

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Programming with Big Data in R

 21 Hours

Big Data is a term that refers to solutions destined for storing and processing large data sets. Developed by Google initially, these Big Data solutions have evolved and inspired other similar projects, many of which are available as open-source. R is a popular programming language in the financial industry.

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Introductory R (Basic to Intermediate)

 14 Hours

This instructor-led, live training in Leipzig (online or onsite) is aimed at beginner-level data analysts who wish to use R programming to manipulate data, perform basic data analysis, and create compelling visualizations for insights.

By the end of this training, participants will be able to:

  • Understand the basics of R Programming.
  • Apply fundamental data science processes.
  • Create visual representations of data.
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KNIME with Python and R for Machine Learning

 14 Hours

This instructor-led, live training in Leipzig (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

By the end of this training, participants will be able to:

  • Plan, build, and deploy machine learning models in KNIME.
  • Make data driven decisions for operations.
  • Implement end to end data science projects.
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Statistical Analysis with Stata and R

 35 Hours

This instructor-led, live training in (online or onsite) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

By the end of this training, participants will be able to:

  • Create statistic models for predicting key interest variables and events.
  • Generate descriptive visualizations, summary tables, frequencies, and more.
  • Manage and structure large databases to preapare for data analysis.
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Data Science with Tableau and R Programming

 14 Hours

By the end of this training, participants will be able to:

This instructor-led, live training in Leipzig (online or onsite) is aimed at data scientists who wish to program in R for Tableau.

  • Implement Tableau analytics with R.
  • Return values to Tableau with learning algorithms in R.
  • Structure and visualize R functions in Tableau.
  • Make data driven decisions for business operations.
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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 Leipzig (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.
  • 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.
Read more...

Last Updated:

Testimonials (6)

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

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada

Course - Data Analytics 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

Course - Programming with Big Data in R

Upcoming Courses

Data and Analytics - from the ground up

2026-08-03 09:30
42 hours
Leipzig
10416 EUR (Online)
11616 EUR (Classroom)

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

2026-08-17 09:30
21 hours
Leipzig
5208 EUR (Online)
5808 EUR (Classroom)

R Markdown for Dynamic Documents and Reproducible Reporting

2026-08-31 09:30
14 hours
Leipzig
3472 EUR (Online)
3872 EUR (Classroom)

Introductory R (Basic to Intermediate)

2026-09-14 09:30
14 hours
Leipzig
3472 EUR (Online)
3872 EUR (Classroom)

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