Data Mining with R Training in Germany

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 1 Day
  • Price: Please contact for booking options
We can host this training at your preferred location. Contact us!

With the advent of big data, there is an increased focus on data mining and the value that can be derived from large data sets. Data mining is the process of selecting, exploring, and modeling large amounts of data to uncover previously unknown information for business benefit.

R is an open source software environment for statistical computing and graphics and is very popular with data scientists. R is being used for data analysis, extracting and transforming data, fitting models, drawing inferences, making predictions, plotting, and reporting results. Learn how to use R basics, working with data frames, data reshaping, basic statistics, graphing, linear models, non-linear models, clustering, and model diagnostics.

There are no prerequisites for this course.

Anyone interested in learning to use data mining techniques to find insights in data and who has at least some statistical and programming experience. 

  • How to configure the RStudio environment and load R packages
  • How to use R basics such as basic math, data types, vectors, and calling functions
  • How to use advanced data structures such as data frames, lists, and matrices
  • How to use R base graphics
  • How to use R basic statistics, correlation, and covariance
  • How to use linear models such as simple linear regression, logistic regression
  • How to use non-linear models such as decision trees and Random Forests
  • How to apply clustering using K-means
  • How to complete model diagnostics

Modules:

  • Introduction to RStudio
  • R Basics
  • Introduction to Data Mining in R
  • Classification and Clustering Models in R
  • Summary

Module 1 Overview

  • What is R?
  • What is RStudio?
  • Why use RStudio?
  • Navigating RStudio
  • What are packages?
  • How to install packages
  • Hands-on Exercises

Module 2 Overview

  • R Math
  • Data Types
  • Working with Data
  • Loading Data
  • Writing Data
  • Data Structures
  • Hands-on Exercises

Module 3 Overview

  • Overview of Data Mining and Data Science
  • Exploratory Data Analysis
  • Base Graphics in R
  • Linear Regression
  • Logistic Regression
  • Hands-on Exercises

Module 4 Overview

  • Decision Trees
  • Clustering
  • Model Diagnostics
  • Hands-on Exercises

Module 5 – Summary

  • Skills Review


Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

Classroom / Virtual Classroom
05 Juni 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
02 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
22 Juli 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
04 August 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
09 September 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
16 September 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
19 September 2024
Berlin, Hamburg, Münih
1 Day
Classroom / Virtual Classroom
21 September 2024
Berlin, Hamburg, Münih
1 Day
Data Mining with R Training Course in Germany

The Federal Republic of Germany is the second most populous country in Europe and is located in Central Europe. The official language of the country is German. Germany is one of the richest countries in the world. The main exports of the country include motor vehicles and iron and steel products.

Here are some fun facts about Germany:
The fairy tale writer, the Brothers Grimm, came from Germany and wrote many famous stories such as Cinderella, Snow White, and Sleeping Beauty.
Germany is home to the largest theme park in Europe, the Europa-Park.
The famous composer Ludwig van Beethoven was born in Germany.
The Autobahn, the German highway system, is known for having no general speed limit.


Berlin was divided by the Berlin Wall from 1961 to 1989. Known for its street art, Berlin has many colorful murals and graffiti throughout the city. Also, Berlin is home to many famous museums, such as the Pergamon Museum and the Museum Island. Many clubs and bars stay open until the early hours of the morning in this big city.

Another popular city is Munich, which is famous for its Oktoberfest beer festival that attracts millions of visitors every year. Munich is also home to many historic buildings, including Nymphenburg Palace and the Marienplatz town square.

The country's capital and largest city is Berlin, however Frankfurt is considered to be the business and financial center of Germany. It is home to the Frankfurt Stock Exchange, the European Central Bank, and many other financial institutions. Because of its central location within Europe and its status as a major financial hub, Frankfurt is often referred to as the "Mainhattan," a play on the city's name and its association with the Manhattan financial district in New York City.

Frankfurt is also a major transportation hub, with the largest airport in Germany and one of the largest in Europe, Frankfurt Airport. Additionally, it is a popular destination for tourists, with its historic city center, beautiful parks, and vibrant cultural scene.

Some of the top German technology companies like Siemens AG, Bosch, SAP SE, Deutsche Telekom, Daimler AG and Volkswagen has business centers in Frankfurt. The country has a strong tradition of engineering and innovation, and is home to many other world-class technology companies and research institutions.

Tailored to meet the specific needs of Germany, Bilginç IT Academy combines cutting-edge training methodologies with our comprehensive range of Certification Exam preparation courses and accredited corporate training programs. Experience a transformative approach to IT training that will redefine your expectations.
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