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    Data Visualization with Python and Covid-19 Analysis Project

    Posted By: kabino
    Data Visualization with Python and Covid-19 Analysis Project

    Data Visualization with Python and Covid-19 Analysis Project
    Video: .mp4 (1280x720) | Audio: AAC, 44100 kHz, 2ch | Size: 11.3 Gb
    Genre: eLearning Video | Duration: 22h 53m | Language: English

    Learn to use Python for Data Visualization. Practical project on applying Python for visualizing & predicting Covid-19.

    1. Introduction to Data Visualization
    What is data visualization
    Benefits of data visualization
    Importance of data visualization
    Top Python Libraries for Data Visualization

    2. Matplotlib
    Introduction to Matplotlib
    Install Matplotlib with pip
    Basic Plotting with Matplotlib
    Plotting two or more lines on the same plot

    3. Numpy and Pandas
    What is numpy?
    Why use numpy?
    Installation of numpy
    Example of numpy
    What is a panda?
    Key features of pandas
    Python Pandas - Environment Setup
    Pandas – Data Structure with example

    4. Data Visualization tools
    Bar chart
    Histogram
    Pie Chart

    5. More Data Visualization tools
    Scatter Plot
    Area Plot
    STACKED Area Plot
    Box Plot

    6. Advanced data Visualization tools
    Waffle Chart
    Word Cloud
    HEAT MAP

    7. Specialized data Visualization tools (Part-I)
    Bubble charts
    Contour plots
    Quiver Plot

    8. Specialized data Visualization tools (Part-II)
    Three-Dimensional Plotting in Matplotlib
    3D Line Plot
    3D Scatter Plot
    3D Contour Plot
    3D Wireframe Plot
    3D Surface Plot

    9. Seaborn
    Introduction to seaborn
    Seaborn Functionalities
    Installing seaborn
    Different categories of plot in Seaborn
    Some basic plots using seaborn

    10. Data Visualization using Seaborn
    Strip Plot
    Swarm Plot
    Plotting Bivariate Distribution
    Scatter plot, Hexbin plot, KDE, Regplot
    Visualizing Pairwise Relationship
    Box plot, Violin Plots, Point Plot

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