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.
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Online R-Trainings: Data Science lernen - live and interactiv
Reading time: approx. 2 min. Online concerts, online fitness courses, online yoga - and we also bring our popular R trainings on the internet! Use our online trainings and become an R expert!
10 Gründe für YUNA
Reading time approx. 3 min. What are the benefits of YUNA and how can it help you to get started with data analysis? Find out here!
Shiny: Performance Tuning with future & promises - Theoretical
Reading time: approx. 3 min. As analysis apps become more and more complex, the demands on developers to maintain the status quo for performance and availability are also increasing. We take a look at the architecture of the Shiny apps and the packages future & promises!
How Shiny and YUNA complement each other
Reading time: approx. 4 min. Shiny® apps have many advantages. In combination with YUNA the advantages are even more enhanced. Learn 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!
Shiny: Load testing and horizontal scaling
Reading time: approx. 4 min. Learn how detailed load testing can be an important tool to identify and eliminate potential vulnerabilities early enough before the application goes live.
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!
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.
How to Build Analytics 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?