Python Pandas Data Crash Course 2023 Learn by Doing.

سرفصل های دوره

Speed up Data Analysis & Visualization with Python Pandas library in easy & simple way also Master using it with SQL.

01 - Introduction

001 Introduction

002 Environment Preparing for Python

003 Python2 VS Python3

004 Understanding Data Types in Python

02 - Python Refresher

001 Variables, Operators and Data Types in Python

002 String Functions in Python

003 Data Structures in Python

004 Control Flow VS Loops

005 Error Handling in Python

006 Functions in Python

007 Files and Modules in Python

03 - Object Oriented Programming (OOP) In Python Refresher

001 Creating Simple Class

002 Overviewing Constructor

003 Learning How to creating Dunder Methods

004 Learning about Inheritance

005 Knowing What is the Encapsulation

006 Learning also about Multiple Inheritance

007 Knowing What is the Overriding

008 Learning about Decorators

009 Learning How to use Build-in Decorators

04 - Data Analysis Process Overview

001 Data Analysis Process

05 - Python Pandas Data Analysis & Visualization

001 SQL PostgreSQL Down and install

002 Database Creation

003 Airlines.zip

003 Database Restore

004 Installing Jupyter Lab & Pandas

005 Using Python Pandas Package to load PostgreSQL the Data Output file

006 Fetchmany and Fetchall

007 Querying Using Python Panadas

008 Pandas methods and functions

009 Visualizing Data

010 Pandas Data Analysis

011 Sampling Error

06 - Web Scraping & Data Analysis Using Python & SQL

001 How to Scrape a website in Python

002 Scrape a Table inside a Webpage using Pandas and LXML Python Modules!

003 Data Visualization of the Scraped Data

004 Save The Scraped Data to a Database

07 - Bonus Section

001 Thanks.html

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تولید کننده: Udemy