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Python Programming for Data Analytics

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Description

  • Introduction to Python for Data Analytics: Overview of Python basics, libraries, and their role in data analytics.
  • Data Manipulation:Using Pandas for data cleaning, transformation, and analysis.
  • Data Visualization: Creating insightful visualizations with Matplotlib and Seaborn.
  • Statistical Analysis:Applying statistical methods and hypothesis testing using Python.
  • Machine Learning Basics: Implementing simple machine learning models with Scikit-learn.
  • Practical Projects: Analyzing real-world datasets through hands-on projects.

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