Programming In Python

Statistics
October 29, 2020
QUIZ
October 29, 2020

Communicate, using a mix of visualizations, a coherent, well-sequenced summary of a data analysis to inform an audience of the key findings of that analysis. • Interpret and write a summary of the noteworthy patterns, trends and exceptions identified in a set of data. • Create simple line, bar and column charts to visually display data. • Select which chart types are relevant to each type of analytical inquiry. • Use data visualizations to compare and contrast aggregate measures between subsets of data, or over time, in order to identify patterns, trends and exceptions present in data. • Create a Jupyter Notebook project, and manage the files associated with that project. • Write Python code that loads data from storage, processing and transforming as necessary, to output summary tables and charts that meet a defined specification. • Write Python code to create estimated forecasts of future events. • Test written Python code to ensure it handles anomalies present in the data, such that the desired results are not distorted, skewed or otherwise contain confusing or misrepresented aspects.

trbet giriş - kronosslot -

lavivabet giriş

trbet giriş - kronosslot -

lavivabet giriş

trbet giriş - kronosslot -

lavivabet giriş