Python Pandas Full Course (2024)

Python Pandas Full Course (2024), available at $54.99, has an average rating of 5, with 27 lectures, 7 quizzes, based on 8 reviews, and has 36 subscribers.

You will learn about Learn Pandas from scratch Learn Pandas for Data Science and Data Analysis Acquire essential Pandas skills Practice your skills with 100+ coding exercises Learn Pandas best practices Be able to program in Pandas professionally. Learn to read CSV and Excel files with ease in Python This course is ideal for individuals who are Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises or Gain a deep understanding of Python Pandas or Python Libraries Beginners or Get started with Pandas or Learn all the topics in Pandas It is particularly useful for Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises or Gain a deep understanding of Python Pandas or Python Libraries Beginners or Get started with Pandas or Learn all the topics in Pandas.

Enroll now: Python Pandas Full Course (2024)

Summary

Title: Python Pandas Full Course (2024)

Price: $54.99

Average Rating: 5

Number of Lectures: 27

Number of Quizzes: 7

Number of Published Lectures: 27

Number of Published Quizzes: 7

Number of Curriculum Items: 34

Number of Published Curriculum Objects: 34

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Pandas from scratch
Learn Pandas for Data Science and Data Analysis
Acquire essential Pandas skills
Practice your skills with 100+ coding exercises
Learn Pandas best practices
Be able to program in Pandas professionally.
Learn to read CSV and Excel files with ease in Python

Who Should Attend

Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises
Gain a deep understanding of Python Pandas
Python Libraries Beginners
Get started with Pandas
Learn all the topics in Pandas

Target Audiences

Those who want to learn Pandas by doing. This course includes 50+ hands-on exercises
Gain a deep understanding of Python Pandas
Python Libraries Beginners
Get started with Pandas
Learn all the topics in Pandas

Welcome to the Pandas Full Course by Studyopedia.

Pandas is a powerful and easy-to-use open-source tool built on top of the Python programming language. It is useful for data analysis and manipulation. Python with pandas is widely used in Statistics, Finance, Neuroscience, Economics, Web Analytics, Advertising, etc.

To work with data sets, clean them, and make them relevant for Data Science is what Pandas do. With that, easily load and read data sets in Excel, CSV, JSON, XML, etc. formats with Pandas and work on them. Easily clean the wrong format data, remove duplicates, and do other tasks with Pandas.

Features

Analyze Data
Manipulate Data
Columns can be inserted and deleted from DataFrame
Group the rows/ columns of a DataFrame/ Series
Plotting is possible
Read CSV/ JSON
Fix the inaccurate data
Clean the Data completely
Easy to handle the missing data in the form: NaN, NA, or NaT

Course Lessons

Pandas – Introduction & Features
Install & Setup Pandas
Create a Pandas DataFrame (Run first program)
Pandas DataFrames – Attributes & Methods
Join Pandas DataFrame
Concatenate Pandas DataFrames
Create a Pandas Series
Pandas Series – Attributes & Methods
Combine two Pandas series
Categorical Data in Pandas
Working with Categories in Pandas
Read CSV in Pandas
Read Excel in Pandas
Indexing in Pandas
Select multiple columns in Pandas
Add a new column in Pandas
Delete rows/ columns in Pandas
Iterate over rows and columns in Pandas
Sorting in Pandas
Handle Duplicates in Pandas
Clean the Data in Pandas
String Operations in Pandas
Date Time Operations in Pandas
Remove Whitespace in Pandas
Group the Data in Pandas
Statistical Functions in Pandas
Plot a DataFrame in Pandas

Quiz

We have also provided an Online Quiz to polish your Pandas skills after completing the lessons.

100+ live coding examples are covered to make each lesson easier for the students.

Hit the Enroll button!

Course Curriculum

Chapter 1: Pandas – Introduction & Setup

Lecture 1: Pandas Introduction & Features

Lecture 2: Pandas Installation & Setup

Chapter 2: Pandas – DataFrames

Lecture 1: Create a DataFrame (Run First Pandas Program)

Lecture 2: DataFrame – Attributes and Methods

Lecture 3: Join DataFrames

Lecture 4: Concatenate DataFrames

Chapter 3: Pandas – Series

Lecture 1: Create a Series

Lecture 2: Series – Attributes and Methods

Lecture 3: Combine two Series

Chapter 4: Pandas – Categorical

Lecture 1: Categorical Data

Lecture 2: Working with Categories

Chapter 5: Pandas – Read CSV, Excel

Lecture 1: Read CSV

Lecture 2: Read Excel

Chapter 6: Pandas – Indexing and Selecting

Lecture 1: Indexing

Lecture 2: Select multiple columns

Chapter 7: Pandas – Data Manipulation

Lecture 1: Add a new column

Lecture 2: Delete rows/ columns

Lecture 3: Iterate over rows and columns

Lecture 4: Sort the data

Chapter 8: Pandas – Data Cleaning

Lecture 1: Handle Duplicates

Lecture 2: Clean the Data

Chapter 9: Pandas – Operations

Lecture 1: String Operations

Lecture 2: Date Time Operations

Lecture 3: Remove Whitespace & special characters

Lecture 4: Group the Data

Lecture 5: Statistical Functions

Chapter 10: Pandas – Plotting

Lecture 1: Plotting in Pandas

Instructors

Studyopedia Trainings
Studyopedia Team

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 0 votes
4 stars: 0 votes
5 stars: 8 votes

Frequently Asked Questions

How long do I have access to the course materials?

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!

Menu