According to Donoho (Donoho, D., 2015, “50 years of Data Science”. Based on a Presentation at the Tukey Centennial Workshop), data science workflow consists of the following steps
data exploration and preparation
data representation and transformation
Computing
Modeling
Visualization and presentation
Insights
Which of the above steps do you encounter as part of your daily work? Please be specific. Based on what you know so far about Python, which steps do you think Python would be best suited for and for which steps would you rather use other tools such as Excel, Tableau etc.
