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Python FUN!damentals: Part 1

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 1 Topics:

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Custom Machine Classifiers for Sifting Twitter Data

Learn how to build custom machine classifiers for sifting Twitter data using Texifter and DiscoverText, presented by Dr. Stuart Shulman, Founder & CEO of Texifter.

The topics covered include how to:

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Team Python at the D-Lab

Posted: Mar, 06, 2018

By: Geoff Bacon

In recent years, increasing numbers of the UC Berkeley community have wanted to learn to program. And what better language to code in than Python? From grad students incorporating computation into their research and staff making their workflows more efficient, to undergrads working on the next big app, Cal Bears love to code.  Check out the graph below that shows how popular Python has become in the last few years (source: StackOverflow Blog).

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Python FUN!damentals: Part 4

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.

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Python FUN!damentals: Part 3

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 3 Topics:

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Python FUN!damentals: Part 2

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 2 Topics:

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Python FUN!damentals: Part 1

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 1 Topics:

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Visualization in Excel

In Visualization in Excel, we will cover the fundamentals of visualization in Excel, including a checklist of considerations that should go into every visualization. We will also go through step by step instructions on how to make horizontal bar charts, slope graphs, butterfly charts, the good kind of pie charts, icon arrays, and how to graph confidence intervals. We will not be using Microsoft Office default colors. 

 

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

Introduction to Data Visualization

Join Kari Peterson, Associate Director of Data Analysis at Haas Development & Alumni Relations and founder of the Cal Data Visualization Network, for this workshop on best practices for communicating your data visually. We'll be covering terminology, color theory, how to pick a viz, tips for how to make sure your viz says what you want it to say, and more.

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Tableau Fundamentals: Part 2

Add data visualization to your communication toolbox without learning to code. Tableau cuts down the time you need to spend creating visualizations through an intuitive graphical user interface. Learn the basics in this hands-on, two-part workshop.

Knowledge Requirements: No prerequisites

Technology Requirements: Sign up for a Tableau Online account (use your @berkeley account)

Download Tableau Desktop Client (version 10.5) - free if you use your @berkeley account

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