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

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Learn Data Analysis Techniques with Python, NumPy, and Pandas: From Data Cleaning to Advanced Visualization

What you will learn

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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

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