Equation Writing with LaTeX
Ever wonder how your professor writes mathematical symbols, equations, and formulas so easily for your assignments? Ever been frustrated with the limitations and clumsiness of Microsoft’s Equation Editor when writing […]
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Data Science Events at The Claremont Colleges
This calendar is a central site for information about data science events and workshops across the 7Cs. Please look at each individual event to get information about location and registration. To post an event to this calendar contact jeanine.finn@claremont.edu.
Map Monday: Sharing Content in ArcGIS Online
Digital Scholarship Collaboratory - Library 800 N. Dartmouth Ave., Claremont, CA, United StatesWorking on GIS projects with a group or a partner? Getting bogged down in how to use groups or hosted layers? What do you need to watch out for with […]
Exploring Data in Excel (Part 1)
Microsoft Excel is a spreadsheet program that is part of the Microsoft Office Suite. It is useful for calculations, making simple charts and data recording for different business processes. Purpose […]
Beyond the Basics: Data Tips and Tricks in Spreadsheets
Digital Scholarship Collaboratory - Library 800 N. Dartmouth Ave., Claremont, CA, United StatesAs part of International Love Data Week 2024, we will be presenting an overview of some of the most common approaches for cleaning and organizing data when “row by row” manual […]
Exploring Data in Excel (Part 2)
Microsoft Excel is a spreadsheet program that is part of the Microsoft Office Suite. It is useful for calculations, making simple charts and data recording for different business processes. Purpose […]
Programming Basics with Python (Part 1)
Python is one of the most popular programming languages for data scientists, web developers, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In […]
Programming Basics with Python (Part 1)
Python is one of the most popular programming languages for data scientists, web developers, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In […]
Programming Basics with Python (Part 2)
Python is one of the most popular programming languages for data scientists, web developers, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In […]
Programming Basics with Python (Part 2)
Python is one of the most popular programming languages for data scientists, web developers, and machine learning practitioners. Its simple syntax makes it an easy-to-write (and an easy-to-learn) language. In […]
Data Wrangling with R
Data wrangling is the process of obtaining, cleaning, reshaping, and transforming raw (and messy) data into a useable form of processed (and tidy) data. It is known that a majority […]