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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.

A Beginner's Guide to IDLE Programming

Discover how Python, one of the fastest-growing languages for data scientists, can enhance your skills and boost your chances of building a career in data science. Learn how the Python Integrated Development and Learning Environment (IDLE) simplifies the process of identifying coding errors, editing projects, and managing workflows, making it an essential tool for beginners looking to write faster and more efficient code.

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Introduction to Git for Data Scientists

Learn how to effectively collaborate on data science projects, navigate team-based workflows, and enhance your practical skills with unique data science training that includes comprehensive Git and GitHub instruction. Discover the benefits of version control, understand the difference between Git and GitHub, and master practical tools that make completing projects more efficient, in an engaging, hands-on curriculum.

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Object Oriented Programming for Data Science

Explore how object-oriented programming (OOP) is a vital tool for data scientists in organizing and manipulating real-world data, particularly when using Python. Understand OOP's flexibility, efficiency, data security, and its role in collaborative projects, software development, and database management, as well as how it aids data scientists in creating and defining objects to control their code composition.

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Best Statistical Concepts for Beginner Data Scientists

Explore the intricate world of data science and understand how data scientists leverage statistical tools and concepts to create impactful algorithms and models. Discover the importance of statistics in areas such as machine learning and artificial intelligence, and how knowledge of statistical concepts can boost your data science career.

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Managing Financial Data with Python

Discover how the management of financial data has transformed in the 21st century with the advent of big data and financial technologies, leading to a new level of importance in our society. Explore how financial analysts use Python, the go-to programming language for financial data analysis, to build a more data-focused career in banking, investing and software development.

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SQL, Python, and Excel for Data Science

The integration of different data science tools and programming languages like SQL, Python, and Microsoft Excel, each known for their unique capabilities, allows for complex project completion. By combining these tools, data science students and professionals can work through the entire data science life cycle and apply advanced data science methodologies to more traditional methods of data analysis.

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Top Business Intelligence Tools for Data Science

Business intelligence tools are not just for financial analysts but have found a firm footing within the data science industry. This article provides a comprehensive guide to the top business intelligence tools, how they're used in data science, and the benefits they offer to anyone seeking to create robust reports, interactive dashboards, and unique data visualizations.

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Introduction to Data Analytics Technologies

Discover what data analytics technologies are and how they are used, including the different types of tools available such as statistical analysis tools, business intelligence tools, database management tools, and machine learning tools. Learn about their specific uses, features, and examples, and explore how you can further your knowledge in utilizing these technologies through Noble Desktop's various data science classes and certificate programs.

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Best Practices for Structuring Python Programs

Programming, once a skill-set exclusive to computer scientists and engineers, is now a crucial attribute for data science across industries. This article dives into the importance of mastering programming languages, particularly Python, and how control flow, sequential, selection, and repetition structures contribute to efficient data analysis.

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