Data Analysis, Data Science & Visualization: Python & Pandas

Data Analysis, Data Science & Visualization: Python & Pandas

What you’ll learn

  • Perform data operations like as grouping, pivoting, joining, and more with Python’s popular “pandas” module.
  • Learn how to manipulate 1D, 2D, and 3D data sets
  • Discover hundreds of pandas methods and characteristics
  • Troubleshoot faulty or missing data sets
  • Learn to program in Python well.
  • You will learn about integer, float, logical, string, and other Python types.
  • Learn how to install packages in Python
  • Learn how to code in Jupiter Notebooks
  • Successfully perform all steps in a complex Data Science project
  • Learn to build statistical models, use Backward Elimination, Forward Selection, and Bidirectional Elimination techniques.
  • Create Basic Tableau Visualizations
  • Have an intermediate skill level of Python programming.
  • Use the numpy library to create and manipulate arrays.
  • Have a portfolio of many different data analysis projects.
  • Use the pandas module with Python to create and structure data.
  • Create data visualizations using matplotlib and the seaborn modules with python.

 

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