Everything you want to Learn about Pandas

Unleash the power of Pandas and become a data analysis expert!

Course Description

In this comprehensive course, you will learn everything you need to know about Pandas, the powerful Python library for data manipulation and analysis. Whether you are a beginner or an experienced data scientist, this course will take you from the basics to advanced techniques, allowing you to handle real-world data with ease.

Pandas - Skill Shorts

Introducing the Skill Shorts
Small Course explaining a specific Module/Package or Feature of a technology in detail
Useful for Course Completed Students to further enhance their advanced learning

As you pay only for specific Skill Short, easyness in expanding of your knowledge in a technology over a period of time
Course Recordings available for 90 days for your reference, watch any number of times

What you will learn

Pandas Essentials

Introduction to Pandas, Installing Pandas Package, Pandas - Series, Pandas - Dataframes, Series Vs Dataframes, Creating a Dataframe, Loading data into a Dataframe, Understanding Pandas data types, Loading data from CSV and Txt Files read_csv(), Index Columns and setting Index Columns, Accessing Rows and Columns, Locating data using indexes - iloc, locating data using Labels - loc, Extracting specific data, Projections and Selections of Data from a Data Frame

Pandas - ETL 1

Understanding Extraction, Transformations and Loading, Extracting data from CSV files, Extracting specific columns and columns range, performing basic data cleaning, typecasting data types, using functions and lambdas for data transformations, updating data series with transformations, Handling NaN values, handling Headers

Pandas - ETL 2

Extracting data directly from Excel Files, Loading data from specific sheets and multiple sheets, Handling dict type data frames, accessing specific item table from dict data frames, learning ExcelFiles() and parsing, exploring gloabls(), applying iterations on dict,list data frames, understanding append(), concatanating dataframes using append()

Pandas Data Manipulation

Joining, Merging and Concatanating Data Frames, Learning to Compare Dataframes, Managing Columns and rows in a data frame, Deleting rows and columns, renaming columns, Sorting Data frames

Pandas Data Operations

Grouping Data in a data frame, applying group functions, working with text data, working with numeric and float data, working with date time data, exploring dataframe functions

Pandas Data Series

Understanding and using Pandas Data Series operations

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