emily joe

5 Stages of Data Analytics Maturity
Transform the data analytics maturity model to give better insights for data-driven companies to set data at the center of their decisions and attain knowledge on its various applications and latest technologies. https://bit.ly/3sIOttv

Data scientists must know the basic techniques of machine learning to make their project successful. Learn why machine learning is important here. https://www.dasca.org/world-of-big-data/article/why-data-scientists-should-learn-machine-learning

#datascientist #machinelearning #mlmodels #datascience

It's not enough to have data. In order to create a compelling story, there are six key steps that every data storyteller needs to know. Read more - https://www.dasca.org/world-of-big-data/article/importance-of-data-driven-storytelling-data-analysis-and-visual-narratives

Choosing the right metrics serves the true purpose of the business, and incorrectly-sampled statistics could seriously misguide judgment. Know the critical capabilities of a data scientist - https://bit.ly/3kobaz7