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

R Fundamentals: Part 4

R Fundamentals Part 4: Putting it all together

In the final part, we will review data importation, subsetting, and visualization. Students will then be given the majority of time to reproduce a workflow on two different datasets, ask questions, and review the solutions as a group.

 

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R Fundamentals: Part 3

R Fundamentals Part 3: Data Exploration and Analysis

Students will be introduced to data exploration and analysis in R. You will learn how to summarize data and explore it with histograms, scatterplots, and boxplots. You will also be introduced to coding statistical data analysis via t-tests, analyses of variance, correlation, and linear regression.

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Python Fundamentals: 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 Fundamentals: 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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R Fundamentals: Part 2

R Fundamentals Part 2: Subsetting and Reshaping

Students will be introduced to loading data from files and various ways to subset it with an emphasis on bracket notation. You will also learn how to use logical vectors, search for and subset missing data, and merge data frames. Terms like subsetbracket notation, and logical vectors will be defined or reintroduced in Part 2.

 

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R Fundamentals: Part 1

Data are the foundations of the social and biological sciences. Familiarizing yourself with a programming language can help you better understand the roles that data play in your field. Learn to develop and train your data skills for free at our R workshops!

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ArcGIS Online: Parts 1 & 2

This 2-part workshop will introduce the ArcGIS Online (AGOL) platform. AGOL is a web-based mapping software that allows you to build maps and explore data online. Topics to be covered include how to construct a simple web map from a spreadsheet of data, perform basic spatial analysis and queries, and publish the map to the web. We will also explore finding data sources through AGOL and using AGOL as a platform for creating web apps. The second half of this workshop will be a hands on tutorial in which participants will log into the campus AGOL website and create their own web maps.

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D-Lab Data Science Fellows Program

Posted: Oct, 16, 2018

By: Patty Frontiera

We are excited to announce the launch of our new D-Lab Data Science Fellows Program.

 

About the program

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SAGE Resources for Your Research: Day 2

Please join us as representatives from SAGE Publishing will be on site to share tips and insights on using SAGE Research Methods and Data Planet for students, faculty, and library staff.

SAGE Research Methods is a comprehensive platform that helps users learn how to do original research. Books, case studies, datasets, and video cover the entire research process, including hundreds of qualitative, quantitative, and mixed methods.

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