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Analyze Data with Python

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Overview

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Learn to analyze and visualize data using Python and statistics. Includes **Python**, **NumPy**, **SciPy**, **MatPlotLib**, **Jupyter Notebook**, and more.

Syllabus

  • Welcome to the Analyze Data with Python Skill Path
    • Get started with the Analyze Data with Python Skill Path.
  • NumPy: A Python Library for Statistics
    • Learn about NumPy, a Python library used to store arrays of numbers, organize large amounts of data, and perform statistical calculations.
  • Data Visualization with Matplotlib
    • Make effective, customized data visualizations in Python with Matplotlib.
  • Statistics for Data Analysis
    • Learn how to calculate and interpret several descriptive statistics using the Python library NumPy.
  • Hypothesis Testing with SciPy
    • Learn SciPy, a Python module for comparative statistics, in order to perform many different statistical tests in code.
  • Learn How to use AI for Data Analysis
    • Learn how to use AI for data analysis.
  • Analyze Data with Python Portfolio Project
    • Create a data analysis project for your portfolio.
  • Analyze Data with Python Next Steps
    • What's next?

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