Corey Ginsberg is a professional, technical, and creative writer with two decades of experience writing and editing for local, national, and international clients. Corey has nearly twelve dozen publications in prose and poetry, in addition to two chapbooks of poems. As a professional writer, she specializes in writing about data analytics-related topics and skills.
Articles by Corey Ginsberg
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What is Data Analytics?
Immerse yourself in the dynamic world of data analytics, a field that turns the vast wealth of raw data generated each day into actionable insights for businesses across various industries. Discover the evolution, methods, applications, and future of data analytics, and explore high-paying career prospects in this rapidly evolving domain.
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Data Analytics vs. Data Science
Dive deep into the world of data with an exploration of the roles of Data Analysts and Data Scientists, uncovering the differences and similarities between these two dynamic fields. Learn about their daily tasks, educational requirements, potential career paths, and promising salary prospects, all while considering which career is the right fit for you.
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The 4 Types of Data Analytics
Data analytics leverages raw data to draw useful insights and drive business decision-making, with four main types: descriptive, diagnostic, predictive, and prescriptive analytics. As data analytics gains importance, a mastery of these fields can provide companies with a competitive advantage, from understanding customers better to improving advertising campaigns and product expectations.
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What is Data Visualization?
Explore the fascinating field of data visualization, a rapidly evolving sector that uses visual representations to convey complex data, making it easier to process and comprehend. Learn about its rich history, significant benefits, various tools and languages used, promising careers, and its exciting future.
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9 Essential Data Visualization Tools
Discover the importance of data visualization tools in a data-driven world, where each person creates an estimated 1.7 megabytes of new data every second. Read on to find out how these tools aid the decision process, why they are critical to an organization's success, and what factors to consider when selecting the best tool.
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What is Power BI?
Explore the extensive benefits of Microsoft's Power BI, a business analytics service that enables users to create and share data visualizations within their organizations. Discover how this suite of architectures and technologies can extract meaningful information from raw data, and gain insight into the available products, key benefits, potential drawbacks, and career opportunities associated with Power BI.
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What is Tableau?
Explore Tableau, the fastest-growing platform for visual analytics, which simplifies raw data for all levels of an organization and requires no programming skills for operation. From data blending to real-time analysis, Tableau has evolved since its founding in 2003 to become one of the most widely used data visualization tools, offering a complete and integrated platform for data analytics and trusted by companies such as Skype, Wells Fargo, Nike, and Coca-Cola.
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Microsoft Power BI vs. Tableau
Explore the world of big data analytics and visualization with a comprehensive comparison of two leading market products: Microsoft Power BI and Tableau. Understand their unique features, benefits, drawbacks, and pricing structures to determine the best fit for your business needs.
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Top 5 Programming Languages for Data Analysts
Explore the top five programming languages used by Data Analysts in 2021: Python, SQL, R, JavaScript, and Scala. Learn more about each language's unique advantages, drawbacks, and applications in the field of data analysis and visualization.
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Top 7 Software Tools for Data Analysts
Leverage data analytics software tools to gain insights from large volumes of data and track various business activities. Learn about popular tools like Excel, Qlik, Tableau, SAS, Power BI, Apache Spark, and Zoho Analytics to understand how they can help you visualize, manage, analyze, and make sense of data, and determine which tool is right for your needs.
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