Python Pandas Data Crash Course 2024 Learn by Doing.

Python Pandas Data Crash Course 2024 Learn by Doing., available at $19.99, has an average rating of 4.6, with 64 lectures, based on 113 reviews, and has 30468 subscribers.

You will learn about What is Python Pandas library or module & how to use its methods. How to use pandas in Data Analysis And data Science. Use Python BS4 & Pandas to Scrape a web-page, Analyze and visualize The Scraped Data. Use Python to load Postgres Data Output file. Use Python Pandas to Analyze and visualize Postgres Data Output. Use Python to visualize Postgres Data Output and get your Conclusion about Data. This course is ideal for individuals who are Are you want to learn more about Python Pandas library Methods & Functions? or Are you want to learn more about Data Analysis using Python Pandas library? or Are you want to learn more about Python + PostgreSQL? or Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data. It is particularly useful for Are you want to learn more about Python Pandas library Methods & Functions? or Are you want to learn more about Data Analysis using Python Pandas library? or Are you want to learn more about Python + PostgreSQL? or Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.

Enroll now: Python Pandas Data Crash Course 2024 Learn by Doing.

Summary

Title: Python Pandas Data Crash Course 2024 Learn by Doing.

Price: $19.99

Average Rating: 4.6

Number of Lectures: 64

Number of Published Lectures: 64

Number of Curriculum Items: 64

Number of Published Curriculum Objects: 64

Original Price: $59.99

Quality Status: approved

Status: Live

What You Will Learn

What is Python Pandas library or module & how to use its methods.
How to use pandas in Data Analysis And data Science.
Use Python BS4 & Pandas to Scrape a web-page, Analyze and visualize The Scraped Data.
Use Python to load Postgres Data Output file.
Use Python Pandas to Analyze and visualize Postgres Data Output.
Use Python to visualize Postgres Data Output and get your Conclusion about Data.

Who Should Attend

Are you want to learn more about Python Pandas library Methods & Functions?
Are you want to learn more about Data Analysis using Python Pandas library?
Are you want to learn more about Python + PostgreSQL?
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.

Target Audiences

Are you want to learn more about Python Pandas library Methods & Functions?
Are you want to learn more about Data Analysis using Python Pandas library?
Are you want to learn more about Python + PostgreSQL?
Use Python bs4 & Pandas to Scrape a webpage, Analyze and visualize The Scraped Data.

The most important part of data science is understanding the data that is available to data scientists. You will only be able to achieve the best outcomes if you have the correct knowledge of data and the appropriate data for the task at hand. The analysis, Visualization, and manipulation of data are all very important in Data Science.

Everything about machine learning and data science is made exceedingly simple with Python. We may easily achieve any desired action by utilizing some of the top libraries available in Python. Pandas is one such package that allows us to examine and manipulate data in order to reduce the complexity and speed up the problem-solving process.

One of the best features available in Python for data analysis operations is the Pandas library. You are capable of doing a wide range of jobs with ease. In this course, we’ll look at the various sorts of operations that every data scientist must employ in order to complete a project with the least amount of resources while reaching the maximum level of efficiency.

What you will learn in this course ?

Learn Python by doing Examples step by step.
In this course you will learn how to Install Python 3.
In this course you will learn how to use python IDLE.
In this course you will learn how to choose Python IDE to learn coding.
In this course you will learn how to Install Anaconda for Python coding.
In this course you will learn how to use Online Jupyter for Python Programming.
In this course you will learn how to use Python IDLE.
In this course you will learn how What the difference between Variables & Operators in Python.
In this course you will learn Operators Types in Python.
In this course you will learn Python Data Types.
In this course you will learn String Functions & entries in Python.
In this course you will learn how to use Input String Function in Python.
In this course you will learn Python Data Structures.
In this course you will learn how to create Lists & lists operations in Python.
In this course you will learn how to create Dictionaries & Dictionaries operations in Python .
In this course you will learn how to create Tuples & Tuples operations in Python.
In this course you will learn and when to use For Loop in Python. to create Sets & Sets operations in Python.
In this course you will learn how and when to use Control Flow and Loops in Python.
In this course you will learn IF Statement and control flow in Python.
In this course you will learn how and when to use For Loop in Python.
In this course you will learn how and when to use While Loop in Python.
In this course you will learn how to Handle Errors in your Python programs.
In this course you will learn how and when to use Python Functions.
In this course you will learn how and when to create functions in Python.
In this course you will learn how and when to use Lambda Expression in Python.
In this course you will learn how to create and use to Python Modules.
Lear how to use Python to open files.
Learn Data Analysis Process step by step.
Learn coding in Python Pandas Library Methods in this course.
Learn coding in Python Pandas Library Data Analysis in this course.
Learn coding in Python Pandas Library Data Visualization in this course.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Environment Preparing for Python

Lecture 3: Introduction to Python

Lecture 4: Python2 VS Python3

Lecture 5: Understanding Data Types in Python

Chapter 2: Python Refresher

Lecture 1: Understanding Python Data Structure Wrap up

Lecture 2: String Functions in Python Part 1

Lecture 3: String Functions in Python Part 2

Lecture 4: String Functions in Python Part 3

Lecture 5: String Functions in Python Part 4

Lecture 6: String Functions in Python Part 5

Lecture 7: Lists

Lecture 8: Tuples

Lecture 9: Sets

Lecture 10: Dictionaries

Lecture 11: Control Flow IF

Lecture 12: For Loop Part 1

Lecture 13: For Loop Part 2

Lecture 14: While Loop Part 1

Lecture 15: While Loop Part 2

Lecture 16: While Loop Best Practices

Lecture 17: Error Handling in Python.

Lecture 18: Introduction to Functions in Python.

Lecture 19: Functions in Python and Arguments.

Lecture 20: Functions and Recursion.

Lecture 21: Function Tips & Tricks Functions Decorators and Higher Order Functions.

Lecture 22: Functions Tips & Tricks Lambda Functions.

Lecture 23: Functions Tips & Tricks Functions Caching & Memoization.

Lecture 24: Files and Modules in Python.

Lecture 25: Python Basics Warp Up

Chapter 3: Object Oriented Programming (OOP) In Python Refresher.

Lecture 1: Creating Simple Class.

Lecture 2: Overviewing Constructor.

Lecture 3: Learning How to creating Dunder Methods?

Lecture 4: Learning about Inheritance.

Lecture 5: Knowing What is the Encapsulation?

Lecture 6: Learning also about Multiple Inheritance.

Lecture 7: Knowing What is the Overriding?

Lecture 8: Learning about Decorators.

Lecture 9: Learning How to use Build-in Decorators?

Chapter 4: Data Analysis Process Overview

Lecture 1: Data Analysis Process

Chapter 5: Python Pandas Data Analysis & Visualization

Lecture 1: SQL PostgreSQL Down and install

Lecture 2: Database Creation

Lecture 3: Database Restore

Lecture 4: Installing Jupyter Lab & Pandas

Lecture 5: Using Python Pandas Package to load PostgreSQL the Data Output file

Lecture 6: Fetchmany and Fetchall

Lecture 7: Querying Using Python Panadas

Lecture 8: Pandas methods and functions

Lecture 9: Visualizing Data

Lecture 10: Pandas Data Analysis

Lecture 11: Sampling Error

Chapter 6: Web Scraping & Data Analysis Using Python & SQL.

Lecture 1: How to Scrape a website in Python?

Lecture 2: Scrape a Table inside a Webpage using Pandas and LXML Python Modules!

Lecture 3: Data Visualization of the Scraped Data.

Lecture 4: Save The Scraped Data to a Database.

Chapter 7: Capstone Project: Learn By Doing.

Lecture 1: 1. Introduction to Predictive Modeling and Machine Learning.

Lecture 2: 2. Data Exploration and Preprocessing of the Titanic Dataset.

Lecture 3: 3. Model Selection and Evaluation of The Titanic Dataset.

Lecture 4: 4. Model Training and Hyperparameter Tuning of The Titanic Dataset.

Lecture 5: 5. Deployment of Predictive Models of the Titanic Dataset.

Chapter 8: Using ChatGPT and Generative AI Assistance for Data.

Lecture 1: Generative AI for Data Analysis.

Lecture 2: Generative AI for Data Science.

Lecture 3: GEN AI Most Used Prompts for Data Analyst & Data Scientists.

Chapter 9: Bonus Section

Lecture 1: Thanks

Instructors

Temotec Learning Academy
Professional Developer & Programmer love teaching.

Rating Distribution

1 stars: 5 votes
2 stars: 5 votes
3 stars: 15 votes
4 stars: 40 votes
5 stars: 48 votes

Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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