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Ultimate Pandas for Data Manipulation and Visualization: Efficiently Process and Visualize Data with Python's Most Popular Data Manipulation Library
INR 5133
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M.R.P. INR 5133
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- Unlock the power of Data Manipulation with Pandas.Book DescriptionUnlock the power of Pandas, the essential Python library for data analysis and manipulation. This comprehensive guide takes you from the basics to advanced techniques, ensuring you master every aspect of pandas. You'll start with an introduction to pandas and data analysis, followed by in-depth explorations of pandas Series and DataFrame, the core data structures.Learn essential skills for data cleaning and filtering, and master grouping and aggregation techniques to summarize and analyze your data sets effectively. Discover how to reshape and pivot data, join and merge multiple datasets, and handle time series analysis.Enhance your data analysis with compelling visualizations using Matplotlib, and apply your knowledge in a real-world scenario by analyzing bank customer churn. Through hands-on examples and practical use cases, this book equips you with the tools to clean, filter, aggregate, reshape, merge, and visualize data effectively, transforming it into actionable insights.Table of Contents1. Introduction to Pandas and Data Analysis2. Pandas Series3. Pandas DataFrame4. Data Cleaning with Pandas5. Data Filtering with Pandas6. Grouping and Aggregating Data7. Reshaping and Pivoting in Pandas8. Joining and Merging Data in Pandas9. Introduction to Time Series Analysis in Pandas10. Visualization Using Matplotlib11. Analyzing Bank Customer Churn Using PandasIndex
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Data Analysts
Ideal for analysts who need to manipulate and visualize datasets effectively for data-driven decision making.
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Students Learning
Great resource for students studying data science or analytics, enhancing understanding of Python's Pandas library.
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Data Scientists
Useful for data scientists needing efficient tools to process and visualize large datasets during projects.
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Beginners Without Python Knowledge
Not suitable for users with no programming experience, as it requires foundational knowledge of Python.
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Advanced Data Professionals
May not provide depth for advanced users looking for complex analysis techniques beyond basic Pandas functionalities.
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Non-Technical Users
Not recommended for individuals who are uncomfortable with coding or require extensive user-friendly interfaces.
Product Description
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