present accurate and reliable data. As far as possible, avoid statistical errors, and find a way to deal with everyday challenges like outliers, missing data, data altering, data mining, or developing graphical representation ,describe and illustrate, condense and recap, and evaluate data. .
Microsoft Excel. ...
Critical Thinking. ...
Python–Statistical Programming. ...
Data Visualization. ...
Presentation Skills. ...