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    3. Pandas The ultimate guide on python pandas for data science

    Pandas The ultimate guide on python pandas for data science

    Posted By: BlackDove
    Date: 2 Mar 2022 18:15:10
    Pandas The ultimate guide on python pandas for data science

    Pandas The ultimate guide on python pandas for data science
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.87 GB | Duration: 4h 27m


    Python pandas for data analytics: Complete reference to python pandas for data analytics, python pandas data structures

    What you'll learn
    What python pandas library and its usage in storing data required for data analytics
    Python pandas data structures: Series, DataFrame and Panel
    How to create Series, DataFrame and Panel types of data structures
    How to access data from Series, DataFrame and Panel data structures
    What types of operations can be performed on pandas data structures

    Requirements
    For better understanding of the topic student should know python programming and Numpy library
    Description
    Pandas is an open-source Python Library providing high-performance data manipulation and analysis tool using its powerful data structures. Python with Pandas is used in a wide range of fields including academic and commercial domains including finance, economics, Statistics, analytics, etc.

    This is a ultimate guide to python pandas for data science user. In this course user will learn python pandas library. User will learn pandas series, dataframe and panel data structures. Also, they will learn how to create these data structures, store data, access data. The functionality and operations on pandas data structures are also explained in detail. python pandas and its data structures are usefull to store the required for data analytics. The detail content of the course is as follows,

    1.Python Pandas - Introduction

    2. Python Pandas - Environment Setup

    3. Introduction to Data Structures

    4. Python Pandas - Series

    5. Python Pandas - DataFrame

    6. Python Pandas - Basic Functionality

    7.Python Pandas - Descriptive Statistics

    8.Python Pandas - Function Application

    9.Python Pandas - Reindexing

    10.Python Pandas - Iteration

    11.Python Pandas - Sorting

    12.Python Pandas - Working with Text Data

    13.Python Pandas - Options and Customization

    14.Python Pandas - Indexing and Selecting Data

    15.Python Pandas - Statistical Functions

    16.Python Pandas - Window Functions

    17.Python Pandas - Aggregations

    18.Python Pandas - Missing Data

    19. Python Pandas - GroupBy

    20.Python Pandas - Merging/Joining

    21.Python Pandas - Concatenation

    22.Python Pandas - Date Functionality

    23.Python Pandas - Timedelta

    24.Python Pandas - Categorical Data

    25.Python Pandas - Visualization

    26.Python Pandas - IO Tools

    27.Python Pandas - Comparison with SQL

    Who this course is for
    This course is for python programmer.
    Also, this course is for data analysts.
    UPWARDS