Building deep and ongoing data science capabilities isn't an easy process: it takes the right people, processes and technology. Finding the right people for the right roles is an ongoing challenge ...

You will learn about different applications of data science and how to apply the steps in a data science process to real life data. You will also be introduced to the ethical questions every data ...

What does your work process look like? CM: Knowing what question to ask is a fundamental part of the data science process — arguably the most important with respect to the impact that analysis ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Therefore, there is a need for diagrams that contain unambiguous process information in the symbols used and that can be transferred to standard machine-readable codes such as SBML for ...