2024 Learn Python Pandas Data Crash Course. Learn by Doing

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

Created by : Rated :4.8 638 views

Last Updated: 2023-12-15 11:12:22 English Course Type: Self Learning

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.

Computer and internet.
No primer programming experience needed for this course.

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.

Section 1 : Introduction to this Course 1 Lectures 00:08:03
Lecture 1 :
Environment Preparing for Python Preview
Section 2 : Introduction to Python 2 Lectures 00:14:32
Lecture 1 :
Python2 VS Python3
Lecture 2 :
Understanding Data Types in Python
Section 3 : Python refresher 7 Lectures 01:40:33
Lecture 1 :
Variables, Operators and Data Types in Python
Lecture 2 :
String Functions in Python
Lecture 3 :
Control Flow VS Loops
Lecture 4 :
Data Structures in Python
Lecture 5 :
Error Handling in Python
Lecture 6 :
Functions in Python
Lecture 7 :
Files and Modules in Python
Section 4 : Python OOP 9 Lectures 00:59:31
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
Section 5 : Project 1 Color Choices 3 Lectures 00:16:41
Lecture 1 :
Project Walkthrough
Lecture 2 :
Project help
Lecture 3 :
3- Project solution
Section 6 : Project 2 hangman 4 Lectures 00:22:44
Lecture 1 :
Hangman Walkthrough
Lecture 2 :
Hangman Helpful Notes
Lecture 3 :
Project Solution Part 1
Lecture 4 :
Project Solution Part 2
Section 7 : Project 3 X-O Game 3 Lectures 00:17:18
Lecture 1 :
X-O project part 1
Lecture 2 :
X-O project part 2
Lecture 3 :
X-O project part 3
Section 8 : Project 4_ XTwitter ChatBot 3 Lectures 00:24:31
Lecture 1 :
TwitterChatBot Part 1
Lecture 2 :
Twitter ChaBot Part 2
Lecture 3 :
Twitter ChatBot Part3
Section 9 : Project 5 Data Analysis _ Data Visualization of the Scraped Data 1 Lectures 00:06:03
Lecture 1 :
visualize scraped data
Section 10 : Project 4 Scraping The Web Using Python 3 Lectures 00:25:33
Lecture 1 :
How to Scrape a website part 1
Lecture 2 :
How to Scrape a website part 2
Lecture 3 :
Using Pandas and LXML Python Modules to scrape a webpage
Section 11 : Project 6 Saving the Scraped data to a newly created Database 1 Lectures 00:07:20
Lecture 1 :
Saving the Scraped data to a newly created Database
Section 12 : Project 1 Google Play Store Data Analysis 6 Lectures 01:02:07
Lecture 1 :
Exploratory Data Analysis (EDA) of Google App Store Data
Lecture 2 :
Data Visualization Techniques ok
Lecture 3 :
Data Visualization Techniques
Lecture 4 :
Statistical Analysis and Hypothesis Testing.
Lecture 5 :
Data Storytelling.
Lecture 6 :
Conclusion.

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Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
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Hello there! With over 350,000 happy students enrolled in my courses, I'm thrilled to be sharing my programming and data science expertise with you. As a programmer and data scientist, I've mastered several programming languages, including Python, SQL, JavaScript, R Programming, as well as tools like Excel, Tableau, Jupyter Notebook, Apache Cassandra, Apache Spark, Apache Airflow, Apache Kafka, AWS, and R Studio. I'm passionate about teaching and sharing my knowledge with the community. When I'm not coding, you can usually find me hiking or reading a good book. I believe that lifelong learning is essential for personal development, and my courses are designed to encourage students to continue learning outside of formal education. I update my courses every month to add new sections based on your feedback and requests. So don't wait – enroll in my courses now and start your journey towards mastering programming, web development, data science, data Engineering and Machine Learning!