PyLadies LA is having a three-part workshop series in May, 2019:
- Python for Data Part 1 || Cleaning Data with Basic Pandas on May 9, 2019
- Python for Data Part 2 || Data Mining with Advanced Pandas on May 16, 2019
- Python for Data Part 3 || Data Visualization w/ Matplotlib & Seaborn on May 23, 2019
This 3-part course is targeted toward Python users with around 20+ hours of ACTIVE coding experience. While we will cover a basic introduction to Pandas and plotting in Python, you should feel comfortable reading and writing pure Python.
- Differences between basic Python types (str, int, float, etc)
- How dictionaries work (keying into dictionary values)
- Basic list operations
- Basic control flow (for loops)
- Basic numpy operations (selecting rows and columns, math operations)
- Basic data literacy (differences between continuous, discrete, and categorical data)
- Basic visual literacy (how to read a bar graph and a scatter plot)
- Must be comfortable running code in a Jupyter environment
- Must be comfortable working in python 3.6+
As a point of reference, if the idea of independently looking through this scares you, the pace of the course may be too aggressive for you.
ABOUT THE COURSE: This course is targeted toward Python users with around 20+ hours of ACTIVE coding experience. While we will cover a basic introduction to Pandas and plotting in Python, you should feel comfortable reading and writing pure Python.
Douglas Strodtman is a professional data enthusiast and adult educator. He has just started a role as a Technical Instructor at Databricks, and previously worked at General Assembly and the University of Washington. His holistic view of the data landscape is that creativity and critical thinking are the most vital skills for deriving actionable business insights.
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