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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Dear Data Scientists – ease your job!
Reading time: approx. 3 min. You have on the most exciting jobs ever! In the same time you have to meet tremendously high expectations – learn how a data science platform can ease your job!
rstudio::global 2021 - Review of 24 hours around Data Science and R
Reading time: approx. 4 min. 24 hours, +17,000 participants, 50 speakers: That was rstudio::global 2021. We take a look back and give you an insight into a selection of talks we think are most exciting.
Data Science Trends 2021
Technologies are constantly evolving and getting better with time. What topics will your company be facing in 2021? We have identified 5 top topics for you.
Data Science Framework - YUNA elements now available for download
reading time: approx. 1min. Our new data science application is now available as a direct download! Test it now 30 days free of charge – no strings attached!
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.
Reasons why data science projects are not always successfull
Reading time: approx. 3min. Why does it happen that data science projects do not bring the success that one expects after long planning? We will shed light on some factors!
RStudio Team Admin Training - Remotely
Reading time: approx. 2 min. We train you in RStudio Server Pro, RStudio Connect and RStudio Package Manager – remotely. Register now for our online training in June 2020.
RStudio Team Admin Training - Remotely
Reading time: approx. 2 min. We train you in RStudio Server Pro, RStudio Connect and RStudio Package Manager – remotely. Register now for our online training in June 2020.
Shiny: Performance Tuning with future & promises - The practice
Reading time: approx. 4 min.In our practical blog post we show with the help of an example app how future/promises apps can be kept reactive despite complex tasks. Try it yourself with the code we provide and put theory into practice!