This all-day workshop will show you, step by step, how to build a machine learning model that can understand and use geographical data. This workshop is perfect for people who know some basic Python programming and are curious about machine learning and AI. We'll be using Python and Google Colab Notebooks for our exercises. Don't worry if you've never used Google Colab or Notebooks before; we'll help you get started. By the end of the day, you'll gain knowledge and hands-on experience to make your own geospatial machine-learning model. Learn in a fun and supportive setting!
Python Programming for Non-Programming Social Scientists - October 22, 2021
Interested in programming, but don't know where to start? Have you heard of Python, but it sounds too scary? This workshop is designed for non-programmers and will cover the basics, including answering the most fundamental questions: What is a program? Why do we program? How do we program in Python? The all-day workshop will combine synchronous and asynchronous instruction and provide hands-on activities to help you write your first program in the easy to learn Python programming language.
The Data in the Desert Training Workshop series is pleased to announce an upcoming workshop:
Python Programming for Non-Programming Social Scientists - November 3, 4
Interested in programming, but don't know where to start? Have you heard of Python, but it sounds too scary? This workshop is designed for non-programmers and will cover the basics, including answering the most fundamental questions: What is a program? Why do we program? How do we program in Python?
Working Long Hours: Implications for Wage Inequality
Alexander Bick, W. P. Carey School of Business
You Can, Too: Examining the Effectiveness of a Police-Community Intervention to Replace Fear with Facts and Build Community-Police Trust
Mary-Ellen Brown, Watts College of Public Service & Community Solutions
Prefrontal Mechanisms Underlying Cocaine-Induced Compulsivity
Cassandra Gipson-Reichardt, Department of Psychology
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This and ADVANCED level, one-day workshop, covering the basics of Qualitative Data Analysis and Content Analysis. This will be an intense refresher workshop recommended for those who have taken previous workshops by Dr. Wutich or have had prior experience using these methods.
Limited to 15 participants
Instructor: Dr. Amber Wutich
Content Analysis: The Basics
Please bring your laptops to this one-day workshop covering the basics of content analysis. Participants will learn techniques such as codebook construction, unitization, inter-rater reliability assessment, team management, and basic computerized coding. This workshop is appropriate as an introduction for scholars interested in developing specialized analytic skills in content analysis. Participants will complete the course with the basic skills to complete a content analysis.
Limited to 15 participants.
Content Analysis: The Basics
This workshop has been changed to an online format, and will cover the basics of content analysis. Participants will learn techniques such as codebook construction, unitization, inter-rater reliability assessment, team management, and basic computerized coding. This workshop is appropriate as an introduction for scholars interested in developing specialized analytic skills in content analysis. Participants will complete the course with the basic skills to complete a content analysis.
Instructor: Dr. Amber Wutich
Qualitative Data Analysis: The Basics
This event has been changed to an online format, covering the basics of qualitative data analysis. Participants will learn building block techniques, such as theme identification and codebook development, which can be used across many analytic traditions. The course takes a hands-on approach, and uses both lectures and activities where participants analyze real data. While the emphasis is on building conceptual and methodological expertise, participants will also learn how to use text analysis software.