Intro to Data Analysis in Python with Jennifer Walker
In this workshop, you will develop skills with powerful data analysis tools from Python’s rich ecosystem of libraries. If you’re wrestling with spreadsheets on a regular basis and want to find better ways to analyze and visualize your data, handle messy and missing data, and automate repetitive tasks, this workshop is for you. If you’re coming from another data analysis environment (R, Matlab, etc.) and/or you’re a Python enthusiast who is curious about Python’s data analysis capabilities, this workshop is also for you!
Working with real-world data and the Pandas library, you’ll learn how to load data from a comma-separated values (csv) file, quickly summarize it from many different angles, and visualize it in graphs, all with just a few lines of code. You’ll also learn how to dive into the data for a deeper analysis with techniques such as subsets, filters, text processing, and aggregation.
For workshop agenda and other details: https://jenfly.github.io/pydata-intro-workshop/
Skill Level: Beginner Level. A little bit of previous experience with Python or another coding language would be helpful, but not required!
Minimal setup: You’ll want to bring your laptop for lots of hands-on practice as we work through the lessons and exercises. We’ll be using Python 3.6, Jupyter Lab, numpy, pandas, matplotlib, and seaborn. I highly recommend using Anaconda to set up your environment, especially if you’re new to Python and/or data analysis is your main reason for using Python.
Please make sure to download and install the required libraries on your laptop prior to the workshop. For setup instructions, please see: https://jenfly.github.io/pydata-intro-workshop/SETUP
Persons with any gender identity are welcome, and should respect that PyLadies Vancouver must be a place where women’s voices are centred.
We expect everyone attending our meetups to abide by our Code of Conduct (http://www.meetup.com/PyLadies-Vancouver/about/).
About Jennifer Walker
Jennifer is an environmental scientist at UBC, spending most of her days blissfully wrangling and analyzing data in Python. When she’s not working on her academic research, she can often be found around town mentoring Ladies Learning Code workshops or volunteering as an analyst and data ambassador with Data for Good.
Github: https://github.com/jenfly LinkedIn: https://www.linkedin.com/in/jennifermariewalker/
Thanks to Demonware for the meetup space, food, and supporting PyLadies Vancouver.
This event was originally hosted on Meetup.
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