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    Python for Data Analysis & Visualization

    Posted By: BlackDove
    Python for Data Analysis & Visualization

    Python for Data Analysis & Visualization
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
    Language: English | Size: 3.48 GB | Duration: 9h 45m


    Master the main data analysis and visualization libraries in Python: Numpy, Pandas, Matplotlib, Seaborn + more

    What you'll learn
    Python, we will be using Python3 in this course
    Data Analysis Libraries in Python such as NumPy and Pandas
    Data Visualization Libraries in Python such as Matplotlib and Seaborn
    How to analyse data
    Data Visualization
    Jupyter Notebooks IDE / Anaconda Distribution

    Requirements
    No prior knowledge required
    Description
    Learn one of the most in demand programming languages in the world and master the most important libraries when it comes to analysing and visualizing data.

    This course can be split into 3 key areas

    The first area of the course focuses on core Python3 and teaches you the essentials you need to be able to master the libraries taught in this course

    The second area focuses on analysing and manipulating data. You will learn how to master both NumPy and Pandas

    For the final part of the course you learn how to display our data in the form of interesting charts using Matplotlib and Seaborn

    You will be using Jupyter Notebooks as part of the Anaconda Distribution. Jupyter is the most popular Python IDE available.

    The course is packed with lectures, code-along videos, coding exercises and quizzes.

    On top of that there are numerous dedicated challenge sections that utilize interesting datasets to enable you to make the most out of these external libraries.

    There should be more than enough to keep you engaged and learning! As an added bonus you will also have lifetime access to all the lectures as well as lots of downloadable course resources consisting of detailed Notebooks.

    The aim of this course is to make you proficient at using Python and the data analysis and visualization libraries.

    This course is suitable for students of all levels and it doesn’t matter what operating system you use.

    Curriculum summary

    Set Up & Installation

    Core Python

    Python Objects, Variables and Data Types

    Control Flow and Loops

    Functions

    External Libraries

    Data Analysis Libraries

    NumPy

    Pandas

    Connecting to different Data Sources

    Visualization Libraries

    Matplotlib

    Seaborn

    4 dedicated Challenge Sections!!!!

    Who this course is for
    Python developers curious about the data analysis libraries
    Python developers curious about the data visualization libraries
    Anyone interested in learning Python
    Data Analysts
    Anyone working with data