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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.

Python for Automation and Machine Learning

As data science evolves, automation and machine learning are becoming more prevalent in streamlining complex processes and making predictions. This article discusses the importance of learning Python for data science, due to its associated libraries that specialize in data collection, analysis, visualization, and sharing, as well as its use in enhancing skills in automation and machine learning.

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Top 5 Databases for Mobile Applications

Explore the importance of databases in the collection of user data for mobile applications and web development. Learn about choosing the right database for mobile application development, the top databases available, and how data scientists and developers can apply their skills to the design and management of database systems.

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Guide to Microsoft Power BI for Data Scientists

Microsoft Power BI, a platform renowned for its business intelligence capabilities and visualization tools, presents data in an easily digestible format for a diverse audience. Encompassing several products and tools like Power BI Desktop, Pro, Premium, Mobile, Embedded, and Report Server, it offers a comprehensive suite that caters to data scientists, analysts, and businesses alike, particularly those working on big data projects.

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Guide to Tableau for Data Scientists

Discover the unique features and capabilities of Tableau, a leading data analytics and business intelligence tool preferred by industry professionals and beginners alike. Learn how it assists in analyzing data, creating reports, and solving problems efficiently, making it a valuable addition to your data science toolkit.

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What Every Data Scientist Should Know about Project Management

Explore the intricate interplay between project management and data science, and how understanding both can open up a wealth of opportunities in various fields and industries. Learn about the five phases of project management, how they intertwine with the data science life cycle, the advantages of agile frameworks, and the specific roles data scientists can assume with project management skills.

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Predictive Analytics for Beginner Data Scientists

Predictive analytics, a powerful tool within data science, enables professionals to forecast future behavior or trends based on past data. This article provides an in-depth understanding of predictive analytics, its application across various industries, and how beginner data scientists can delve deeper into it.

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SQL vs. NoSQL: Data Warehouses

The world of data science has been revolutionized by big data, necessitating more complex methods of data storage and management than traditional database procedures. Discover the utility of data warehouses and data lakes in managing relational databases and big data projects, and learn how these advanced database management tools can enhance your understanding and usage of SQL and NoSQL databases.

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SQL vs. NoSQL: Database Migration

Learn about the process and importance of database migration in the context of increasing data complexity and volume. Understand the difference between homogeneous and heterogeneous database migration, the benefits of migrating from SQL to NoSQL, the need for increased storage and scalability, and the value of database consolidation.

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