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    Data Visualization in python using seaborn library

    Posted By: BlackDove
    Data Visualization in python using seaborn library

    Data Visualization in python using seaborn library
    Published 08/2022
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 774 MB | Duration: 23 lectures • 2h 19m


    Best course on Data Visualization in python using seaborn library

    What you'll learn
    What is Data Visualization?
    Why Should you use Data Visualization in Analytics and Business Intelligence projects?
    Data Visualization in Python
    Seaborn Library
    Distribution Plot, Histograms, KDE Plots, Scatter Plot, Rug Plot, Joint Plot, Pair Plot, Bar Plot, Count Plot, Box Plot, Violin Plot, Strip Plot, Swarm Plot
    Heat Map, Pair Plot, Sub Plot

    Requirements
    No introductory skill level of Python programming required
    Desire to learn!
    Description
    Welcome to Mastering Data Visualization! In this course, you're going to learn about the Theory and Foundations of Data Visualization so that you can create amazing charts that are informative, true to the data, and communicatively effective.

    "A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.

    This course is designed to teach analysts, students interested in data science, statisticians, and data scientists how to analyze real-world data by creating professional-looking charts and using numerical descriptive statistics techniques in Python 3.

    We'll teach you how to program with Python, how to analyze and create amazing data visualizations with Python! You can use this course as your ready-to-go reference for your own project.

    Who this course is for

    Programmers / Researchers / Designers that want to learn how to produce top-quality plots

    Anyone who has to present data at some point!

    Data Scientists

    Academic scientists having to publish in scientific journals

    Journalists / Data Journalists

    Communication experts

    Also the general public: you should know how graphs work because they're everywhere!

    WHAT YOU WILL LEARN

    Describe what makes a good or bad visualization

    Understand best practices for creating basic charts

    Identify the functions that are best for particular problems

    Create a visualization seaborn

    Distribution Plot

    Histograms

    KDE Plots

    Scatter Plot

    Rug Plot

    Joint Plot

    Pair Plot

    Bar Plot

    Count Plot

    Box Plot

    Violin Plot

    Strip Plot

    Swarm Plot

    Heat Map

    Pair Plot

    Sub Plot

    SKILLS YOU WILL GAIN

    Python Programming

    Data Virtualization

    Data Visualization (DataViz)

    seaborn

    If you need to analyze, present or communicate data professionally at some point, this course is a must.

    I really encourage you to deepen your knowledge on Data Visualization. It's not a difficult topic, and we will start from the basics. You don't need any previous knowledge. I'll teach you everything you need to know along the way and we'll go straight to the point. No rambling. I really hope to see you in class!

    Who this course is for
    Data Scientists, Data Analysts.
    Who wants to start their data visualization journey
    Who Is curious about how to build effective and impactful graphs
    Who Is looking to break into the business intelligence, analytics or data visualization field
    Anyone who want to express thoughts, findings, insights from any kind of data using data Visualization.