What are the different tools mainly used for data analysis?
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Data analysis is a merged field that develops various tools to extract understandings from data like -
- Programming languages like Python and R are opening, and contribution libraries such as pandas and ggplot2 for handling and visualization.
- SQL is necessary for querying databases.
- Expert software like Excel and Power BI, Tableau provides user-friendly interfaces for analysis and reporting.
- Jupiter Notebook smooth interactive calculation and documentation.
- For big data, Apache Spark proposes powerful processing capabilities.
- Machine learning tasks are updated with frameworks like TensorFlow and PyTorch.
- These tools, each with unique strengths, form a complete toolkit for data analysts, allowing them to transform raw data into criminal knowledge, and powerful decisions in business, science, and technology.
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