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PANDAS LIBRARY

Track :

Programming

Lessons no : 16

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What will you learn in this course?
  • Master data manipulation and analysis using Pandas DataFrames and Series for real-world datasets
  • Perform efficient data cleaning, filtering, and transformation with Pandas for accurate insights
  • Create insightful data visualizations by integrating Pandas with matplotlib for effective storytelling
  • Utilize Pandas for statistical analysis and numerical computations on large datasets
  • Implement best practices for handling missing data and data normalization in Pandas
  • Optimize data processing workflows using Pandas' indexing, grouping, and aggregation techniques
  • Apply Pandas to automate data reporting and generate actionable business intelligence
  • Enhance data analysis skills by combining Pandas with NumPy and matplotlib for comprehensive data projects

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Lessons | 16


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Nirmala 

good
2025-08-16

Ankita Tiwari 

good
2024-01-16

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Pandas is built on top of two core Python libraries—matplotlib for data visualization and NumPy for mathematical operations. Pandas acts as a wrapper over these libraries, allowing you to access many of matplotlib's and NumPy's methods with less code.