The data science blog by eoda
The data analysis blog from the data science specialist: We tell you stories about the data science languages R and Python, data science in a business context and much more.
Schön‘ juten Tach & Moin Moin: R trainings in Berlin & Hamburg
Reading time: approx. 2 min Data science courses in Berlin and Hamburg - In April and October 2020 we will bring our popular R trainings to major German cities. Become a data science expert with R!
22.01.2020
How to build data science platforms - Part 5: Data visualization and reliable results
Reading time: approx. 2min. What must be considered when visualizing results and data? We take a look at it!
15.12.2019
How to build data science platforms - Part 4: Database scalability and business models
Reading time: approx. 2min. This time: Connect various data sources and develop new use cases and entire business models.
10.12.2019
How to build data science platforms - Part 3: Customizable workflows and dashboards
Reading time: approx. 2min What if the individual project steps were based on the company and individual dashboards could be reused?
08.12.2019
New YUNA release!
With version 1.13. new functionalities and features in YUNA have been made possible: Shiny widget authentication, result rating, form widget with stored procedure and special characters in sourced objects - learn more!
06.12.2019
How to build data science platforms - Part 2: Intelligent user and role concept
Reading time: approx. 2min. Why are users- and role-permissions a factor not to be underestimated in data science platforms?
06.12.2019
How to build data science platforms - Part 1: UI & Teams
Reading time: approx. 2min. Which factors must be met by modern data science platforms?
03.12.2019
Version management - The uncomplicated work on a common project
Reading time: approx. 4min. Version management is a central tool for project management. Learn more about how Git can help you work more efficiently on joint projects!
28.11.2019
Package management: Using repositories in production systems
Reading time: approx. 4min. A good package management in production systems and a fully functional infrastructure are the basis for a complication-free development environment. Learn how to work properly with repositories here!
21.11.2019
Ansible: Infrastructure as code (IaC)
Reading time: approx. 3min By using Ansible, IT infrastructures can be automated so that manual intervention is no longer necessary. In our article we show you selected examples of how an automated infrastructure configuration can be implemented.
14.11.2019
Kubernetes: Horizontal scaling of data science applications in the cloud
Reading time: approx. 2 min Due to the constant growth of data and the ever more complex requirements of an IT infrastructure, there are always new challenges for data scientists and data engineers. One possible solution is to combine the RStudio Job Launcher with a Kubernetes cluster: Read our blog article to find out about the advantages!
23.10.2019
R, Python & Julia in data science: A comparison
Reading time: approx. 3min R, Python or Julia? Meanwhile there are many programming languages, but which one is suitable for your own needs is still unclear. We give you a recommendation!
16.09.2019
Easy data access: The advantages of a unique database connection with ODBC and DBI
Reading time: approx. 2min Optimum data access is particularly important for the work of data scientists. It enables them to access the relevant data quickly and efficiently.
04.09.2019
Ei Gude! - Data science courses with R in Frankfurt
Data science courses in Frankfurt! In November it's time: We will bring our popular R-Trainings to Southern Hesse.
25.07.2019
Are you [R]eady for production? The Data Science Event 2019 – Register now!
[R]eady for production – The Data Science Event 2019. In the upcoming week, eoda and RStudio invite the German speaking R-community to the event for the productive use of R.…06.06.2019
R-Trainings in Hamburg – Register now!
With more than 1,500 satisfied participants, eodas R-trainings are the leading courses for the programming language in the German-speaking region. In May, 2019, we bring our popular courses „Introduction to R“ and…26.02.2019
Is Santa Claus predictable?
Two years ago, we revealed something sensational: Santa Claus is a data scientist. The secret of his success does not lay in his hundred years of experience as a gift…11.12.2018
Happy Birthday R
Happy birthday R! We’re celebrating your 25th anniversary this month. In 1993, when your developers Ross Ihaka and Robert Gentleman – whose two first names probably gave rise to the…27.08.2018
Dear data scientists, how to make your work even more valuable
In our previous article we have showed you how you can make your daily work easier with the right solution. The optimal support of different data science languages, a scalable…23.08.2018
Dear data scientists, how to ease your job
You have got the best job of the 21st century. Like a treasure hunter, looking for a data treasure chest while sailing through data lakes. In many companies you are…19.06.2018
reticulate – another step towards a multilingual and collaborative way of working
R , Julia, Python – todays data scientists have the choice between numerous different programming languages, each with their own strengths and weaknesses. Would it not be convenient to bring…14.06.2018
Data Wonderland: Christmas songs from the viewpoint of a data scientist
Whether „Driving Home for Christmas“, „Winter Wonderland“, „Let it snow!“ or „Last Christmas“ – every year christmas songs are taking over the charts again. While average Joe is joyfully putting…19.12.2017
Tutorial: How to set up a Twitter bot using R
On occasion of the 10,000th R package on CRAN, eoda operated an automated Twitter account which regularly posted the current number of packages available on CRAN until the 10,000-package milestone…02.02.2017
On occasion of the 10,000th R package: The eoda Top 10
R just passed another milestone: 10,000 packages on CRAN. From A3 to zyp, from ABC analysis to zero-inflated models – 10,000 R packages mean great variety and methods for almost…28.01.2017