Data science is one of the most wide-ranging disciplines of the 21st century. Data scientists use a wide variety of methods and tools to generate more knowledge from data and its analysis. Especially in times like today, data and the insights we can draw from them are becoming increasingly important. ...

You want to use the R programming language to transform data into strategic knowledge? You are looking for the optimal introduction to working with R? You would like to participate in a training that really helps you despite your home office and limited travel possibilities?  Then register for our online ...

We train you in RStudio Server Pro, RStudio Connect and RStudio Package Manager – remotely  RStudio Team is a bundle of professional software for statistical data analysis, package management and data product exchange. As a certified RStudio partner, we will train you in the proper use of RStudio Team – in German. ...

The second part of our blog series on Shiny dealt with the optimization within Shiny applications. We looked at the theoretical part on how Shiny and the packages future/promises work. In the context of these two packages it was presented how they can be used to outsource complex tasks ...

If concerts and theatre performances are cancelled, fitness studios are closed and offices are moved home because of the Corona danger, you don’t have to quit „live events“ completely. Living room concerts, online yoga and dance classes or home office opportunities – these offers already exist and we also bring ...

In our previous article about Shiny we shared our experiences with load testing and horizontal scaling of apps. We showed the design of a process from a proof of concept to a company-wide application. The second part of the blog series focuses on the R packages future & promises, which are ...

You are the modern Indiana Jones of digitalization! Always on the lookout to increase knowledge, show relations and take your organization to the next level. Just like the great discoverers like Leif Eriksson, Vasco da Gama and Lewis and Clark, you never let yourself be stopped from pursuing an idea ...

In addition to a structured preparation and organization of data and analysis results, flexibility and dynamics are extremely important in the field of data science. In order to gain insights from data, they often have to be explored first. Ideally, the barrier to visualizing and exploring data is relatively low ...

R is one of the leading programming languages for data analysis. In April and October 2020 we will bring our popular trainings “Introduction to R“ and “Machine Learning with R“ to Berlin and Hamburg. Save one of the coveted places and become a data science expert with R! Berlin Introduction to ...

„Money can’t buy you happiness, but it can buy you more EC2 Instances…“ – With this quote Sean Lopp, Product Manager at RStudio, PBC, rang in his „Scaling Shiny“ showcase. In this showcase, he uses a load-testing approach to show how a Shiny application can be scaled for 10,000 users. RStudio’...

R is one of the leading programming languages for data analysis and data visualization. Unlock the potential of data science in our popular R trainings and learn how to turn data into added value with the open source language. With more than 1,500 satisfied participants, eoda’s R trainings are among ...

Whoever starts a job as a developer in 2019, be it in software development or in data science, data ops, etc., is usually confronted with a tool for version management relatively early. Programs such as Git, SVN and BitKeeper are primarily used to transparently wind forwards and rewind the development history ...

Data science is characterized among other things using open source tools. An advantage when working with open source languages such as R or Python is the large package world. This provides tools for numerous use cases and problems through the development within huge communities. The packages are organized in digital ...

Prediction models, machine learning algorithms and scripts for data storage: The modern data science application not only shows more and more complexity, but also puts the existing infrastructure to the test by temporary resource peaks. In this article, we will show how tools such as the RStudio Job Launcher in ...

What does a modern analytics platform need to offer companies real added value? Contradiction and connection at the same time: Information content vs. simple presentation A meaningful result or the answer to important questions is not everything. Making data and results comprehensible is just as important for companies as target-oriented ...

R is one of the leading programming languages for data analysis. In November 2019 we bring our popular data science trainings to Frankfurt! Introduction to R | 12 – 13 November 2019 The course is intended as an introduction to R and its basic functionalities and facilitates the introduction to R with practical tips and […]

As digitalization progresses and data science interfaces continue to grow, new opportunities are constantly emerging to reach the personal analysis goals. Despite the „modernity“ of the industry, there is now a wealth of software for every need: From the design of the analysis infrastructure to the complete, decentralized evaluation through ...

What does a modern analytics platform need to offer companies real added value? Without data, there are no data products or analyses! What sounds so banal is one of the most important requirements for modern analytical platforms: The possibility to connect various data sources and develop new use cases, data ...

Easy data access: The advantages of a unique database connection with ODBC and DBI Every developer has his favorite tools and frameworks to work with when connecting to the database. The number of different front end and back end combinations increases the complexity of the analysis. Any Relational Database Management ...

What does a modern analytics platforms need to offer companies real added value? The more information a platform represents and the more detailed the individual analytics projects are, the stricter is often the way in which projects must be planned and implemented. But what would happen if the individual project ...