Faithe J Day is a writer, researcher, and educator with a BA in English and Digital Humanities and a PhD in Communication Studies. Over the past few years, she has been awarded research fellowships focused on data science, curation, and education, during which she developed projects that critique the role of information and technology within society and culture. Through a focus on the ethics of data collection and sharing, her writing explores the politics of platforms, the role of social media in society, and the future of algorithms and artificial intelligence.
Articles by Faithe Day
Pairing Python & SQL to Analyze Data
Pairing SQL database management systems with Python allows data science professionals to manage and manipulate data within a database.
Introduction to Data Analytics Technologies
Data analytics technologies are any data science tool or software used to manipulate and analyze a dataset. While some data analytics technologies use complex algorithms and artificial intelligence to draw conclusions about a dataset, more traditional tools rely on statistical analysis and mathematical calculations to return more descriptive analytics.
Data Visualization with Python
Described as the moment in which data becomes information, data visualization is one of the final and most important steps of the data science lifecycle. Incorporating communication, storytelling, and aesthetics, visualizing a dataset through charts and graphs is one of the easiest ways for data scientists to present their findings to an audience.
Data Scientist vs. Business Analyst: Which Should You Choose?
A career as a data scientist differs from one as a business analyst in terms of the tools used and the expected work outcomes. While data scientists use programming and machine learning to gather insights from diverse data collection, business analysts use data analytics technologies to make better business decisions.
SQL for Web Development and Design
The collection and analysis of user data is important to individuals who work on the development and design of websites and applications, as this information allows developers and designers to learn more about what users want from the web. Through analyzing user data, developers are also able to construct storage systems.
How to Become a Python Developer Without a Degree
Coding bootcamps are a surefire way to build one’s skills and capabilities in any number of careers. One way to become a Python developer without a degree is by learning the essential skills of Python development through coding bootcamps and certificate programs.
Web Application Development for Data Scientists
In today’s world, going online has never been easier. From the first web pages of the late 20th century to the early 21st-century web of mobile applications and social media platforms, each web iteration has brought new opportunities for data science professionals, developers, and designers.
A Beginner’s Guide to Application Programming Interfaces
Beginners in data science may have little experience with application programming interfaces, or APIs, or know why they are relevant to the data science industry. Learning more about APIs helps understand the relationship between programming, web development, database management, and the most common API uses for data scientists and developers.
What is Data Science?
As an interdisciplinary field, data science combines statistics and mathematics, as well as information science and data analysis. A popular and fast-growing field, data science is a highly sought out skill across industries, and there are multiple types of data, and tools to analyze it.
Why Learn Python for Data Science?
Python is one of the most popular and dynamic programming languages within and outside of the field of data science. As an essential open-source coding language, Python has gained popularity because of its easy-to-learn syntax and versatility, multitude of libraries and packages, and the dynamic and interactive community of Python users that you can find online.
showing 10 of 145 resources