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2 Οκτ 2024 · Data analytics is the process of collecting, transforming, and organizing data in order to draw conclusions, make predictions, and drive informed decision making. The field encompasses data analysis, data science, and data engineering. In this article, you'll learn more about what data analytics is, how its used, and its key concepts.
2 Οκτ 2024 · Learn what data analysis is, how to do it, and why it's important for businesses. Explore four types of data analysis (descriptive, diagnostic, predictive, and prescriptive) with real-world examples and courses.
26 Αυγ 2023 · Learn how data analysis is conducted in various realms, such as business, healthcare, and finance. See examples of data analysis techniques, tools, and applications in different scenarios and domains.
10 Νοε 2024 · Data analysis is a comprehensive method of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It is a multifaceted process involving various techniques and methodologies to interpret data from various sources in different formats, both structured and unstructured.
16 Νοε 2024 · Explore our list of data analytics projects for beginners, final-year students, and professionals. The list consists of guided/unguided projects and tutorials with source code. After learning the fundamentals of data analytics, it is time to apply your skills by working on projects.
29 Νοε 2023 · To identify the best way to analyse your data, it can help to familiarise yourself with the four types of data analysis commonly used in the field. In this section, we’ll take a look at each of these data analysis methods, along with an example of how each might be applied in the real world.
10 Σεπ 2024 · Learn what data analysis is, why it's important, and how to perform five types of data analysis with examples. Zapier also offers tips and tools to automate your data analysis process.
