Data Science is a very fast evolving environment:
New languages: C++ → SAS/Matlab → R → Python → Julia/Swift/Scala?)
New software: Tableau / PowerBi / MLFlow / AutoML
New infrastructures: AWS, GCloud, Azure, OVH
New SOTAs: Word2Vec (2013), LSTM (2014), GRU (2015), Transformer (2017), BERT (2018), XLNet (2019), GPT-3 (2020)
So self-study is vital to stay current and progress and is also a tool for specialization. Essential to build a career in Data Sciences.
This category will help you discover resources for self-training with quality material recommended by our data experts.