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Articles by: Faithe Day

Faithe Day

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.

Top 5 Cloud Databases Every Data Scientist Should Know

Discover the importance and benefits of cloud computing in the data science industry as well as the top five cloud databases and providers. Gain insight into the integral role of data collection and storage in the era of big data, how cloud-based platforms differ from traditional server systems, and why more companies are migrating to these systems.

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Why Every Data Scientist Should Learn R

Get an edge in data science by mastering the R programming language, known for its robust capabilities in data analysis, organization, and visualizations. Noble Desktop offers a comprehensive Data Analytics with R Bootcamp, designed to equip you with coding skills and help you build an impressive portfolio of data science projects.

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Why Every Data Scientist Should Know Amazon Web Services

The data science industry is witnessing a significant shift towards cloud-based storage and computing systems, with Amazon Web Services (AWS) emerging as the premier provider for businesses worldwide. AWS, a subsidiary of Amazon, offers a variety of data science tools geared towards numerous industries, from machine learning and artificial intelligence to cybersecurity and database management, positioning Amazon as a key player in shaping the future of data science.

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Apache for Beginner Data Scientists

Explore the use of essential, beginner-friendly, open-source tools in the data science industry such as the Apache Software Foundation's products which are free to download and widely accessible. Learn about the Apache HTTP Server, the world's most popular and widely used web server, and other Apache tools like Spark, Hadoop, and Kafka that are particularly useful for data scientists interested in analytics, visualization, and modeling.

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Software Engineering for Data Scientists

Learn how software engineering skills can enhance your data science portfolio and set you apart in the growing data science industry. Dive deep into the key programming languages, databases, and software libraries, and understand how the principles of Agile software development can be applied in data science.

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Data Science vs. Information Technology: Industry and Careers

Discover the complex relationship between data science and information technology, examining their similarities, differences, and how their skills can be intertwined for lucrative career opportunities. Learn how to leverage your data science skills for a career in IT, and how Noble Desktop's comprehensive training programs can help guide your career path in these growing fields.

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Why Data Scientists Should Learn JavaScript

JavaScript is not typically associated with data science, but it's a valuable tool that data scientists can utilize for creating unique data visualizations and project portfolios. Despite being primarily used for web development, JavaScript has made strides in data science with the use of libraries like TensorFlow, paving the way for machine learning algorithms and statistical modeling.

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Why Every Data Scientist Should Know Scikit-Learn

Dive into the potential of Python through its comprehensive open-source libraries, with a focus on data science libraries like NumPy and Matplotlib, as well as automation and machine learning offerings. Discover scikit-learn, a prominent Python library that provides a robust catalogue of resources for machine learning, enabling data scientists to effectively visualize, analyze and predict data trends within various projects.

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Python for Financial Analysis

Explore the world of data science and its critical role in financial analytics, as it aids in managing risks, making decisions, and detecting patterns. Discover the intersection of financial technology and data analytics, and how acquiring Python programming skills can help financial analysts transition into the rapidly growing FinTech industry.

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Python for Web Development and Design

Python, a highly versatile language renowned in the data science industry, has significant applications in the realm of web design and development, notably in back-end development. Data scientists with a background in Python can leverage this expertise to create dynamic websites, expanding their skill set, and opening up opportunities for roles such as Python Developers, Full Stack Developers, and Back-end Developers.

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