Posts tagged with “DataSquad Blog” (All posts)
Jimmy Zhong: how the DataSquad experience helped me during my internship
Aya Klos ‘23 sat down with Biology/Computer Science double-major Jimmy Zhong ’23 to learn about his experience with the DataSquad and reflect on the skills he could apply during his internship and beyond.
Maraki Ketema: career experience and advice for data science/software engineering beginners
Maraki is currently a senior product manager at Tableau. Tableau is a data visualization software company under Salesforce®. After Carleton, she started as a software engineer at Tableau, and currently,…
Online Education v.s. College Online Class
Introduction & Motivation It’s almost Christmas 2020. Covid-19 has been around for more than 9 month. Like the number of Covid cases, my average screen time has been steadily increasing…
How to pick blog categories and tags for your data science posts
Data Science is an interdisciplinary area, comprising several different topics. Considered as the sexiest area of the 21st century, Data Science consolidates the knowledge in Computer Science, Mathematics, Statistics, general…
Google Data Studio: A Google Doc version for Data Reports
1. What is Google Data Studio? Understanding, analyzing, and visualizing data is on the surge more than ever. We have many powerful tools to handle those tasks with in-depth capabilities…
Data Preparation with Tableau : Transform Data Format with Data Interpreter
This is the 1st of a series of blog posts on data preparation in Tableau. In this blog post, I will introduce the Data Interpreter, a useful tool that can…
SQL vs. NoSQL Databases, What…?
SQL (Structured Query Language) and NoSQL (Not only SQL) are two popular yet distinct types of databases. A database is an organized collection of information, like a library with orderly…
Cloud Computing
Cloud Computing (Cloud) is a massive computing resource built by Cloud provider (usually means several gigantic data centers in various geographic locations), and institutions/customers subscribe to computing resources according to…
Dealing with a Vector Memory Exhausted Error in R
When working with relatively large data in RStudio, it’s not uncommon to run into a Vector Memory Exhausted error. The threshold for this can depend on a number of things,…
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