Complete Pandas for Absolute Beginners

Complete Pandas for Absolute Beginners, available at $19.99, has an average rating of 4.5, with 8 lectures, based on 429 reviews, and has 41283 subscribers.

You will learn about Perform a multitude of data operations in Pythons popular pandas library including grouping, pivoting, joining and more! Group, aggregate and summarise your data. Learn everything there is to know about pandas – from absolute scratch! Gain a deep and hands-on understanding of pandas data structures. Practice reading data from the web, pickles, Excel files right within pandas. This course is ideal for individuals who are If you are a complete beginner then this course will be everything you need to learn Pandas or Python students that want to learn how to manipulate data professionally. or Anyone looking to deeply understand and master pandas or Aspiring data analysts and scientists looking to upgrade their skillset. or Anyone interested in mastering data analysis with python It is particularly useful for If you are a complete beginner then this course will be everything you need to learn Pandas or Python students that want to learn how to manipulate data professionally. or Anyone looking to deeply understand and master pandas or Aspiring data analysts and scientists looking to upgrade their skillset. or Anyone interested in mastering data analysis with python.

Enroll now: Complete Pandas for Absolute Beginners

Summary

Title: Complete Pandas for Absolute Beginners

Price: $19.99

Average Rating: 4.5

Number of Lectures: 8

Number of Published Lectures: 8

Number of Curriculum Items: 8

Number of Published Curriculum Objects: 8

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Perform a multitude of data operations in Pythons popular pandas library including grouping, pivoting, joining and more!

Group, aggregate and summarise your data.

Learn everything there is to know about pandas – from absolute scratch!

Gain a deep and hands-on understanding of pandas data structures.

Practice reading data from the web, pickles, Excel files right within pandas.

Who Should Attend

If you are a complete beginner then this course will be everything you need to learn Pandas

Python students that want to learn how to manipulate data professionally.

Anyone looking to deeply understand and master pandas

Aspiring data analysts and scientists looking to upgrade their skillset.

Anyone interested in mastering data analysis with python

Target Audiences

If you are a complete beginner then this course will be everything you need to learn Pandas

Python students that want to learn how to manipulate data professionally.

Anyone looking to deeply understand and master pandas

Aspiring data analysts and scientists looking to upgrade their skillset.

Anyone interested in mastering data analysis with python

This course is designed for individuals with little or no experience with the Pandas library for Python. Pandas is a powerful and flexible open-source data analysis and manipulation tool that is widely used in data science and data analysis. This course will provide a comprehensive introduction to the library, starting with basic concepts and gradually building up to more advanced topics.

The course will begin by introducing the basics of Pandas, including its data structures (Series and DataFrames) and the various ways to import and export data. You will learn how to perform basic data cleaning and preprocessing tasks, including handling missing values, renaming columns, and filtering and sorting data. You will also learn how to use Pandas to perform basic statistical operations and data visualization.

As the course progresses, you will dive deeper into more advanced topics, such as merging and joining data, groupby operations, and advanced indexing techniques. You will also learn how to use Pandas to work with time series data, including how to handle and manipulate date and time data.

Throughout the course, you will work with real-world data sets, giving you hands-on experience with the tools and techniques covered. You will also complete a number of practical exercises and projects, allowing you to apply what you’ve learned to real-world problems.

By the end of this course, you will have a solid understanding of the Pandas library and be able to use it confidently to perform data analysis and manipulation tasks. Whether you’re a beginner looking to start a career in data science or an experienced data analyst looking to improve your skills, this course is the perfect starting point.

Prerequisites: This course is designed for absolute beginners, and it will be helpful if you have basic knowledge of Python programming.

Course Outline:

1. Introduction to Pandas

2. Pandas Dataframes and Series

3. Indexes in Pandas

4. Conditional Filtering in Pandas

5. Update Rows and Columns in Pandas

6. Add/Remove Columns of Data

7. Master Data Sorting in Pandas

8. Clean & Save DataFrames

By the end of this course, you will be able to:

Understand the basics of the Pandas library and its data structures

Import and export data using Pandas

Perform basic data cleaning and preprocessing tasks

Use Pandas to perform basic statistical operations and data visualization

Merge and join data using Pandas

Use the groupby function in Pandas

Apply advanced indexing techniques in Pandas

Work with time series data using Pandas

Apply your knowledge to real-world projects

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Pandas

Chapter 2: Dataframes and Series

Lecture 1: Pandas Dataframes and Series

Chapter 3: Indexes in Pandas

Lecture 1: Indexes in Pandas

Chapter 4: Conditional Filtering in Pandas

Lecture 1: Conditional Filtering in Pandas

Chapter 5: Update Rows and Columns in Pandas

Lecture 1: Update Rows and Columns in Pandas

Chapter 6: Add/Remove Rows and Columns From Pandas DataFrames

Lecture 1: Add/Remove Rows and Columns From Pandas DataFrames

Chapter 7: Data Sorting in Pandas

Lecture 1: Data Sorting in Pandas

Chapter 8: Cleaning & Saving Pandas DataFrames

Lecture 1: Cleaning & Saving Pandas DataFrames

Instructors

Hassan Shoayb
Passionate about Artificial Intelligence

Rating Distribution

1 stars: 5 votes

2 stars: 10 votes

3 stars: 57 votes

4 stars: 171 votes

5 stars: 186 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!