Course Content
7 weeks, packed with the most important material for social science PhDs
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This week introduces the foundations of Python, exploring the key data types and basic operations.
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Exploring further datatypes, and how organizing your code into functions to help organize your code.
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This week will examine how to load in data, integrate multiple sources together, process the data, and output a clean dataset.
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Explore how Python’s textual analysis capabilities can help you create new variables for further analysis.
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Explore how to save and access data from databases, using the Peewee package in Python.
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Further tools for analyzing and visualizing data.
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Exploring approaches for incorporating your Python skills into your research.
Each week combines self-passed asynchronous material, hands on exercises, and live class discussions.
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Strings
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Lists
7 Topics
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For Loops
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If statements
6 Topics
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Week 1 Wrap Up
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Sets
4 Topics
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Dictionaries
4 Topics
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Counters
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Tuples
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Functions
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Setting up Python
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Loading in data
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Error types
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Outputting Data
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List comprehension
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Python Packages
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Fuzzy Matching
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Stemming words
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Regex
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Python skills
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Introducing NumPy
4 Topics
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Introducing Pandas
3 Topics
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Dataframes basics
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Matplotlib
9 Topics
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Random numbers
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