Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects...
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What Are the Questions to Ask If You Get a New Project? (Episode 15)
A Picture Says More Than 1000 Tables (Episode 14)
Writing Reproducible Reports using Quarto (Episode 13)
Communicating data is so important! Quarto is a fantastic tool for writing reproducible reports
using literate programming. Literate programming allows us to incorporate documentation and
code in the same program. The data science community has embraced this idea by adopting
Rmarkdown and Jupyter Notebooks. Using Quarto efficiently, you can create parametrized
reports, write scientific publications, and build data-driven slides.
Enjoy this super-interesting conversation with Thomas Neitmann, and be an effective data
Sharing your Code with R Packages (Episode 12)
In this episode, Paolo interviewed Thomas on why sharing your code with R packages for some data science projects is essential. When is it important? Where to start? What are the main steps and best practices? This skill could be a game-changer in your career as a data scientist, and nowadays, it’s much easier due to the introduction of new tools.
How to Effectively Structure Data Science Projects in R (Episode 11)
We have outstanding news for you!
Thomas Neitmann joins The Effective Data Scientist as a co-host of the show! Thomas is an Associate Director of Data Science at Denali Therapeutics. He contributed significantly to the adoption of the R software in the pharmaceutical industry - especially during his time at Roche.
Do you want to boost your career as a data scientist? Our podcast helps you in achieving this by teaching you relevant knowledge about all the different aspects of becoming a more effective data scientist.