NumPy, Pandas, & Python for Data Analysis: A Complete Guide

NumPy, Pandas, & Python for Data Analysis: A Complete Guide

What you’ll learn

  • Introduction to Jupyter Notebook
  • Basic Python programming concepts
  • Installing NumPy & Pandas
  • Creating NumPy arrays from Python lists
  • Mathematical functions in NumPy
  • Reading and writing files with NumPy
  • Creating and understanding DataFrames
  • DataFrame indexing and selection
  • Adding, removing, and updating data
  • Data filtering, sorting, and grouping
  • Time series analysis and manipulation
  • Identifying and handling missing data
  • Merging, joining, and concatenating DataFrames
  • Applying functions to DataFrames
  • Customizing plots (titles, labels, colors)
  • Creating complex visualizations (histograms, scatter plots, box plots)
  • Memory optimization techniques

How to Enroll NumPy, Pandas, & Python for Data Analysis: A Complete Guide course?

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