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.
-
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.
-
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.
-
Why Every Data Scientist Should Learn SQL
SQL’s role as one of the most popular and commonly used data science programming languages can be attributed to the development of SQL as a data science tool. Due to the fact that SQL was created to manage databases, this programming language is well suited for working with big data and relational databases in a variety of ways.
-
Top 10 Data Science Libraries for Python
For every programming language, there are multiple libraries that accompany the language in order to assist users in creating their own programs based on code that was previously created and tested by other users.
-
8 Best Programming Languages for Data Science
Whether you are new to coding or have years of experience in the field, learning a programming language is one of the easiest and most versatile ways to get into data science or to improve your skills.
-
Guide to Data Science Tools
Due to the fact that there are multiple different types of data and ways to both analyze and visualize it, Data Scientists need to learn different tools depending on the type of data that they are analyzing and/or the industry where they work.
showing 10 of 115 resources