3.9 out of 5
3.9
84 reviews on Udemy

Python Pandas Data Crash Course 2024 Learn by Doing.

Speed up Data Analysis & Visualization with Python Pandas library in easy & simple way also Master using it with SQL.
Instructor:
Temotec Learning Academy
27,453 students enrolled
English [Auto]
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.

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.

Introduction

1
Introduction
2
Environment Preparing for Python
3
Introduction to Python
4
Python2 VS Python3
5
Understanding Data Types in Python

Python Refresher

1
Understanding Python Data Structure Wrap up
2
String Functions in Python Part 1
3
String Functions in Python Part 2
4
String Functions in Python Part 3
5
String Functions in Python Part 4
6
String Functions in Python Part 5
7
Lists
8
Tuples
9
Sets
10
Dictionaries
11
Control Flow IF
12
For Loop Part 1
13
For Loop Part 2
14
While Loop Part 1
15
While Loop Part 2
16
While Loop Best Practices
17
Error Handling in Python.
18
Introduction to Functions in Python.
19
Functions in Python and Arguments.
20
Functions and Recursion.
21
Function Tips & Tricks Functions Decorators and Higher Order Functions.
22
Functions Tips & Tricks Lambda Functions.
23
Functions Tips & Tricks Functions Caching & Memoization.
24
Files and Modules in Python.
25
Python Basics Warp Up

Object Oriented Programming (OOP) In Python Refresher.

1
Creating Simple Class.
2
Overviewing Constructor.
3
Learning How to creating Dunder Methods?
4
Learning about Inheritance.
5
Knowing What is the Encapsulation?
6
Learning also about Multiple Inheritance.
7
Knowing What is the Overriding?
8
Learning about Decorators.
9
Learning How to use Build-in Decorators?

Data Analysis Process Overview

1
Data Analysis Process

Python Pandas Data Analysis & Visualization

1
SQL PostgreSQL Down and install
2
Database Creation
3
Database Restore
4
Installing Jupyter Lab & Pandas
5
Using Python Pandas Package to load PostgreSQL the Data Output file
6
Fetchmany and Fetchall
7
Querying Using Python Panadas
8
Pandas methods and functions
9
Visualizing Data
10
Pandas Data Analysis
11
Sampling Error

Web Scraping & Data Analysis Using Python & SQL.

1
How to Scrape a website in Python?
2
Scrape a Table inside a Webpage using Pandas and LXML Python Modules!
3
Data Visualization of the Scraped Data.
4
Save The Scraped Data to a Database.

Bonus Section

1
Thanks
You can view and review the lecture materials indefinitely, like an on-demand channel.
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!
3.9
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84 Ratings

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4 hours on-demand video
2 articles
Full lifetime access
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Certificate of Completion

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