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Articles by: Corey Ginsberg

Corey Ginsberg

Corey Ginsberg is a professional writer with two decades of experience creating and editing content. She earned both her Bachelor’s and Master’s degrees from Carnegie Mellon University, graduating with honors. Corey also holds a Master of Fine Arts in creative writing from Florida International University and served as the editor of Gulf Stream Magazine. She has worked with clients such as the Dick’s Foundation, colleges, invention companies, Nike Swim Camp, The Pentagon, The Pittsburgh Robotics Institute, and major design firms. Drawing from a broad creative, technical, and professional writing background, Corey currently writes about a range of technical topics, including computer programming, data analytics, and computer-aided design.

Top 10 Python Libraries for Data Analytics

Dive deep into the world of data analytics with Python, the fastest-growing programming language today. Discover its power through its libraries, their functionalities, and its diverse professional applications in handling and visualizing big data, all while learning about the ten most popular Python libraries for data analytics.

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The Role of Machine Learning in Data Analytics

Discover the power and potential of machine learning in transforming businesses and industries. Learn how historical data inputs enable software applications to predict outcomes, provide customer and operational insights, and drive growth in various sectors such as healthcare, retail, and government agencies.

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10 Non-Traditional Careers in Data Analytics

The rapid evolution of big data has generated a demand for specialized skills to transform the volumes of raw data into actionable insights, leading to a variety of new and unique professions. From Cyber City Analysts and Roboticists to Genetic Counselors and Baseball Front Office Analysts, these non-traditional career opportunities in data analytics are set to redefine industries and sectors across the board.

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The Future of Data Analytics

Explore the evolution of data analytics, from its inception in the 1950s to its current state in 2021 and its future projections. Learn about the different facets of data analytics including big data, AI, machine learning, IoT and more, as well as various courses available for those seeking to immerse themselves in this constantly transforming field.

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What is Automation in Data Analytics?

Explore the transformative benefits of automation in data analytics, from its ability to handle time-varying data to enabling quicker decision-making, and discover the growing role of machine learning and AI in this burgeoning field. Learn how and when to automate your data analytics process, understand the tasks most suited for automated analytics, and explore the hands-on automation classes offered by Noble Desktop to improve your skills in areas like Python, SQL, and data analytics.

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What is Jupyter Notebook?

Explore the dynamic capabilities of Jupyter Notebook, an open-source, free web application that supports creating and sharing documents embedded with complex data and visualization tools. Dive into the advantages of this platform that allows real-time code execution and modification, offers versatile functionalities including data cleaning and statistical modeling, and presents a flexible environment for interactive computing across various programming languages.

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Top Data Mining Tools for 2025

Discover the potency of data mining and how it uncovers patterns and relationships in vast datasets, offering invaluable insights for businesses across industries. Explore the top ten data mining tools of 2021, helpful in implementing an effective data mining strategy, and learn about various data analytics and visualization classes offered by Noble Desktop.

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Best Data Visualization Libraries for 2025

Immerse yourself in the world of data visualization and discover how visual content is transforming the way businesses communicate complex data. From learning about the function and benefits of various data visualization libraries in JavaScript, Python, and R, to exploring hands-on data analytics and data visualization classes offered by Noble Desktop, this article has all the information you need to start your journey into the fascinating realm of data visualization.

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7 Most Common Data Analysis Methods

Learn how Data Analysts utilize seven core analytical methods to provide organizations with valuable insights into past trends, current performance, and future activities. This article provides in-depth exploration into Time Series Analysis, Monte Carlo Simulation, Cohort Analysis, Factor Analysis, Dispersion Analysis, Decision Trees, and Cluster Analysis.

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