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Data Analysis In Python

Track :

Programming

Lessons no : 22

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What will you learn in this course?
  • Master data manipulation using Pandas DataFrames for efficient analysis and reporting in Python
  • Perform numerical computations with Numpy multi-dimensional arrays for complex data analysis tasks
  • Apply SciPy libraries to perform statistical analysis, optimization, and scientific computing in Python
  • Utilize Python for cleaning, transforming, and preprocessing datasets for accurate insights
  • Implement data visualization techniques to communicate findings effectively using Python tools
  • Analyze large datasets to identify patterns, trends, and correlations with Python libraries
  • Develop automated data analysis workflows to improve efficiency and reproducibility in Python
  • Solve real-world data problems by applying Python-based data analysis techniques and libraries
  • Interpret and present data insights clearly to support data-driven decision-making processes
  • Enhance data analysis skills for careers in data science, analytics, and research using Python

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  • Watch All Lessons
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Lessons | 22

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Mayilvaganan j

Easy to learn 2025-08-21

Kandekar Suvarna Bajirao

Good 2025-07-16

Akhouri Rakesh Kumar

Good 2023-08-28

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Data Analysis with Python is delivered through lecture, hands-on labs, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets.