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When & Where
Date: 
Thu, February 13, 2020 - 9:00 AM to 12:00 PM
Location: 
356B Barrows Hall (D-Lab Convening Room)
Description
Type: 

This four-part, interactive workshop series is your complete introduction to programming Python for people with little or no previous programming experience. By the end of the series, you will be able to apply your knowledge of basic principles of programming and data manipulation to a real-world social science application.

Part 4 Topics: We will applying the skills learned during previous sessions to a real world social science example.

Knowledge requirements: Python Fundamentals: Part 1, Part 2, and Part 3, or equivalent prior knowledge

Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately.

Please click here to fill out the feedback form for this workshop: Workshop Feedback Form

Training Keywords: 
Data Manipulation and Cleaning, Data Science
Primary Tool: 
Python
Details
Training Learner Level: 
Beginner
Training Host: 
D-lab Facilitator: 
Evan Muzzall
Format Detail: 
Interactive, hands-on
Participant Technology Requirement: 
Laptop required. Be sure to download Python Anaconda 3.7 before the workshop starts. You can test that it worked correctly by searching for “Anaconda Navigator” on your computer and then clicking the “Launch” button under Jupyter Notebooks.
Log in to register for this training.

The available spaces and the waitlist for this event are both full.