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Understand commonly used built-in Python data types, including lists, tuples, and dictionaries
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Write conditional statements using if, elif and else in Python
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Write a for loop in Python
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Read and write large amounts of data using pandas
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Perform common data manipulations including filtering, selecting specific rows and columns, along with other routine data analysis tasks with pandas.
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Merge dataframes in various ways using pandas
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Use Python for basic data analysis tasks (data cleaning and reformatting, exploration, analysis)
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Understand Python’s role as a tool in the backend and analysis toolkits
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Use tools like Spyder, iPython notebooks, packages such as pandas, and visualization
The workshop agenda is here
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