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    3. Python Pandas - Python Library For Data Analysis

    Python Pandas - Python Library For Data Analysis

    Posted By: lucky_aut
    Date: 19 Dec 2022 06:16:35
    Python Pandas - Python Library For Data Analysis

    Python Pandas - Python Library For Data Analysis
    Duration: 57:09 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 335 MB
    Genre: eLearning | Language: English [Auto]

    Learn Python DataFrame Operations
    What you'll learn
    How to use python pandas library
    Doing data analysis with pandas
    Doing all operations with DataFrame
    Creating DataFrame From CSV and doing all operations
    Requirements
    Have Python 3 Installed
    Python Basics
    Description
    Python Pandas is a library for data analysis.
    In Pandas library DataFrame is used to do all operations related to data analysis.
    A Pandas DataFrame is a 2 dimensional data structure with rows and columns.
    In this course you will learn how to do all operations with pandas DataFrame.

    Through this course you will learn the following :-

    1. Creating DataFrame
    How to create DataFrame from different python data structures.

    2. Adding Columns and Rows to DataFrame
    How to add data(column,row) to the DataFrame

    3. Deleting Rows and Columns From DataFrame
    How to delete rows and columns from DataFrame

    4. DataFrame Attributes
    Attributes which gives information about DataFrame

    5. DataFrame Functions
    Functions that will help in data analysis

    6. DataFrame Grouping
    How to group data in the DataFrame

    7. Locating data in DataFrame
    How to locate data based on columns and rows

    7. DataFrame Filtering
    How to filter data from DataFrame

    8. DataFrame and CSV
    How to create DataFrame from CSV files and how to convert DataFrame to CSV files.

    9. DataFrame to HTML
    How to convert DataFrame to HTML file

    10. Data Cleaning
    How to clean unwanted data

    After completing this course , you will learn how to create DataFrame from large CSV files and to analyse the data.
    Once the DataFrame is created we can add columns, and rows of data to it. We can also delete columns and rows from the
    DataFrame . We have various functions that helps us in doing data analysis on DataFrame data.  We have support for filtering and grouping data . We can also delete unwanted data from the DataFrame.
    You will learn how to convert the DataFrame to different files ,CSV and HTML.

    Who this course is for:
    Doing all operations with pandas DataFrame

    More Infox
    UPWARDS