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    Master the art of Python Data Visualization

    Posted By: BlackDove
    Master the art of Python Data Visualization

    Master the art of Python Data Visualization
    Updated 06/2022
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 4.23 GB | Duration: 85 lectures • 11h 13m


    Learn Advanced Data Visualization with Python 3, NumPy, Jupyter, Matplotlib, Pandas, Seaborn, Bokeh, Leather, and Pygal

    What you'll learn
    Prepare Awesome Visualizations in Python 3
    Publications, Web, and Print quality Visualizations
    3D Visualizations
    Add Matplotlib, NumPy, seaborn, bokeh, Leather, and Pygal in resume
    Appear for Data Science interviews confidently
    Learn basics of Data Visualization

    Requirements
    Basic Knowledge of Computers and Mathematics
    A Windows PC/ Raspberry Pi with Internet Connection
    Zeal and enthusiasm to Learn
    Burning desire to take your career to the next level
    Description
    Data Visualization is one of the most in demand skills in today's job market. A well trained Data Visualization earns at least a six digit remuneration in technology domain. Python 3 is one of the favorite and widely programming languages in the domain of the Data Science.

    In this course, we will explore NumPy, Seaborn, Pandas, Bokeh, Leather, and Pygal libraries in Pandas in detail. We will learn how to install and use these libraries in detail. After finishing this course, you will be able to handle any project at your workplace that needs deep knowledge of these libraries.

    The course has downloadable PDFs and code files along with the video lectures.

    This course has over 85 lectures and more than 11 hours of videos.

    We cover a wide variety of topics, including

    Basics of Scientific Python Ecosystem

    Basics of Digital Image Processing

    Basics of NumPy and Matplotlib

    Installation of Python 3 on Windows

    Setting up Raspberry Pi

    Tour of Python 3 environment on Raspberry Pi

    Jupyter installation and basics

    NumPy Ndarrays

    Array Creation Routines

    Basic Visualization with Matplotlib

    Ndarray Manipulation

    Random Array Generation

    Bitwise Operations

    Statistical Functions

    Plotting with Matplotlib

    Python 3 and Matplotlib Data Visualization Recipes

    Seaborn recipes

    Seaborn and Pandas

    Bokeh

    Leather

    Pygal

    You will get lifetime access to over 85 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures!

    So what are you waiting for? Learn Data Visualization with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

    Who this course is for
    Data Scientists, Data Analysts, and Data Engineers
    Mathematicians, Statisticians, Scientists, and Engineers
    Machine Learning and AI Professionals
    Bioinformatics and Biostatistics professionals
    Programmers and Developers
    Students, Job seekers, anyone wanting to learn new stuff