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What you'll learn

  • Foundations of Python for Data Analytics.
  • Introduction to Python programming for data analysis.
  • Working with Python libraries like NumPy and Pandas.
  • Data Cleaning and Transformation.
  • Cleaning and preparing data for analysis
  • Transforming data using Pandas and NumPy functionalities.
  • Statistical Analysis with Python.
  • Applying statistical techniques using Python.
  • Understanding and interpreting data distributions.
  • Data Visualization with Python.
  • Creating compelling visualizations using Matplotlib and Seaborn.
  • Interactive visualizations with Plotly and Bokeh.
  • Python for Machine Learning.
  • Introduction to machine learning with Python.
  • Implementing basic machine learning algorithms for data analysis.

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