Beyond the Basics: Data Tips and Tricks in Spreadsheets
As 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 […]
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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.
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 […]
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 […]
Practical Python: Session 1
Have you ever thought about learning to program in Python? Do you want to learn how to retrieve data from websites for your research projects? Well, you are in luck! […]
Free
QCL Workshop – Programming Basics with R (Part 1)
You have data and you need a tool to do something with it. Whether you’re a data scientist, political scientist, economist, or biologist, it’s increasingly apparent that data is ever-present and we need to do a little statistics, a little visualization, and a little manipulation of this data. That is precisely what the programming language […]