Master Pandas for Data Handling [2024]

Master Pandas for Data Handling [2024], available at $54.99, has an average rating of 5, with 38 lectures, based on 49 reviews, and has 200 subscribers.

You will learn about Master the Pandas library for advanced Data Handling Advanced Data Preparation with Pandas, including model-based imputation of missing data Make Data Visualizations with Pandas, Matplotlib, and Seaborn File handling with the Pandas library Use the .concat(), .join(), and .merge() functions/methods to combine Pandas DataFrame objects Scale and Standardize data The fundamental concepts and language of the Pandas DataFrame object Make advanced Data Descriptions with Pandas, including cross-tabulations, groupings, and descriptive statistics All aspects of changing, modifying and selecting Data from a Pandas DataFrame Cloud Computing – use Anaconda Cloud Notebook (Jupyter Notebook). Learn to use Cloud Computing resources Optional: use Anaconda Distributions Jupyter Notebook and Conda package management system This course is ideal for individuals who are Anyone who knows the basics of Python programming and want to learn the Pandas library or Anyone who is a new student at the University level and want to learn Data Handling skills that they will have use for in their entire data science, engineering or academic careers or Anyone who knows Python and wants to extend your knowledge of the Pandas library and Data Handling or Anyone who knows about Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know or Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity It is particularly useful for Anyone who knows the basics of Python programming and want to learn the Pandas library or Anyone who is a new student at the University level and want to learn Data Handling skills that they will have use for in their entire data science, engineering or academic careers or Anyone who knows Python and wants to extend your knowledge of the Pandas library and Data Handling or Anyone who knows about Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know or Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity.

Enroll now: Master Pandas for Data Handling [2024]

Summary

Title: Master Pandas for Data Handling [2024]

Price: $54.99

Average Rating: 5

Number of Lectures: 38

Number of Published Lectures: 38

Number of Curriculum Items: 38

Number of Published Curriculum Objects: 38

Original Price: $54.99

Quality Status: approved

Status: Live

What You Will Learn

Master the Pandas library for advanced Data Handling

Advanced Data Preparation with Pandas, including model-based imputation of missing data

Make Data Visualizations with Pandas, Matplotlib, and Seaborn

File handling with the Pandas library

Use the .concat(), .join(), and .merge() functions/methods to combine Pandas DataFrame objects

Scale and Standardize data

The fundamental concepts and language of the Pandas DataFrame object

Make advanced Data Descriptions with Pandas, including cross-tabulations, groupings, and descriptive statistics

All aspects of changing, modifying and selecting Data from a Pandas DataFrame

Cloud Computing – use Anaconda Cloud Notebook (Jupyter Notebook). Learn to use Cloud Computing resources

Optional: use Anaconda Distributions Jupyter Notebook and Conda package management system

Who Should Attend

Anyone who knows the basics of Python programming and want to learn the Pandas library

Anyone who is a new student at the University level and want to learn Data Handling skills that they will have use for in their entire data science, engineering or academic careers

Anyone who knows Python and wants to extend your knowledge of the Pandas library and Data Handling

Anyone who knows about Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know

Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity

Target Audiences

Anyone who knows the basics of Python programming and want to learn the Pandas library

Anyone who is a new student at the University level and want to learn Data Handling skills that they will have use for in their entire data science, engineering or academic careers

Anyone who knows Python and wants to extend your knowledge of the Pandas library and Data Handling

Anyone who knows about Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know

Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity

This video course will teach you to master Pandas, the most powerful, efficient, and useful Data Handling library in existence. You will learn to master the Pandas library and to use powerful Data Handling techniques with the intention of making you able to use the powerful Pandas library for Data Science and Machine Learning Data Handling tasks.

With the Pandas library you get a fast, powerful, flexible and easy to use, open-source data analysis and data manipulation tool, directly usable with the Python programming language and able to use any data source with the incredibly powerful Pandas DataFrame object.

This video course is updated to Pandas 2 and the announced upcoming Pandas 3 version.

You will learn:

Master the Pandas library for advanced Data Handling

The fundamental concepts and language of the Pandas DataFrame object

All aspects of changing, modifying and selecting Data from a Pandas DataFrame

File handling with the Pandas library

Use the .concat(), .join(), and .merge() functions/methods to combine Pandas DataFrame objects

Scale and Standardize data

Advanced Data Preparation with Pandas, including model-based imputation of missing data

Make advanced Data Descriptions with Pandas, including cross-tabulations, groupings, and descriptive statistics

Make Data Visualizations with Pandas, Matplotlib, and Seaborn

Cloud Computing: To use the web browser-based Anaconda Cloud Notebook (Cloud-based Jupyter Notebook). Learn to use Cloud Computing resources in this course.

Option: To use the Anaconda Distribution (Windows, Mac, Linux, and more)

Option: Python environment fundamentals with the Conda package management system and command line installing/updating of libraries and packages – golden nuggets to improve your quality of work life.

And much more…

This course is an excellent way to learn to Master Pandas and Data Handling! Data Handling is the process of making data useful and usable for data analysis.

Most Data Scientists and Machine Learners spends about 80% of their working efforts and time on Data Handling tasks. Being good at Data Handling and Pandas is extremely useful and time-saving skills that functions as a force multiplier for productivity.

This course is designed for anyone who wants to

Anyone who knows the basics of Python programming and want to learn the Pandas library!

Anyone who is a new student at the University level and want to learn Data Handling skills that they will have use for in their entire data science, engineering or academic careers!

Anyone who knows Python and wants to extend your knowledge of the Pandas library and Data Handling!

Anyone who knows about Data Science or Machine Learning and want to learn Data Handling skills that work as a force multiplier with the skills you already know!

Anyone who wants to learn advanced Data Handling and improve their capabilities and productivity

Requirements:

Everyday experience using a computer with Windows, MacOS, iOS, Android, ChromeOS, or Linux is recommended

Basic Python knowledge is recommended

Access to a computer with an internet connection

The course only uses costless software

Walk-you-through installation and setup videos for Windows 10/11 is included

This course is the course we ourselves would want to be able to enroll in if we could time-travel and become new students. In our opinion, this course is the best course to learn to Master Pandas and Data Handling.

Enroll now to receive 12+ hours of detailed video tutorials with manually edited English captions, and a certificate of completion after completing the course!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to Master Pandas for Data Handling

Lecture 2: Setup of the Anaconda Cloud Notebook

Lecture 3: Download and installation of the Anaconda Distribution (optional)

Lecture 4: The Conda Package Management System (optional)

Chapter 2: Master Pandas for Data Handling

Lecture 1: Master Pandas for Data Handling: Overview

Lecture 2: Pandas theory and terminology

Lecture 3: Creating a DataFrame from scratch

Lecture 4: Pandas File Handling: Overview

Lecture 5: Pandas File Handling: The .csv file format

Lecture 6: Pandas File Handling: The .xlsx file format

Lecture 7: Pandas File Handling: SQL-database files and Pandas DataFrame

Lecture 8: Pandas Operations & Techniques: Overview

Lecture 9: Pandas Operations & Techniques: Object Inspection

Lecture 10: Pandas Operations & Techniques: DataFrame Inspection

Lecture 11: Pandas Operations & Techniques: Column Selections

Lecture 12: Pandas Operations & Techniques: Row Selections

Lecture 13: Pandas Operations & Techniques: Conditional Selections

Lecture 14: Pandas Operations & Techniques: Scalers and Standardization

Lecture 15: Pandas Operations & Techniques: Concatenate DataFrames

Lecture 16: Pandas Operations & Techniques: Joining DataFrames

Lecture 17: Pandas Operations & Techniques: Merging DataFrames

Lecture 18: Pandas Operations & Techniques: Transpose & Pivot Functions

Lecture 19: Pandas Data Preparation I: Overview & workflow

Lecture 20: Pandas Data Preparation II: Edit DataFrame labels

Lecture 21: Pandas Data Preparation III: Duplicates

Lecture 22: Pandas Data Preparation IV: Missing Data & Imputation

Lecture 23: Pandas Data Preparation V: Data Binning [Extra video]

Lecture 24: Pandas Data Preparation VI: Indicator Features [Extra Video]

Lecture 25: Pandas Data Description I: Overview

Lecture 26: Pandas Data Description II: Sorting and Ranking

Lecture 27: Pandas Data Description III: Descriptive Statistics

Lecture 28: Pandas Data Description IV: Crosstabulations & Groupings

Lecture 29: Pandas Data Visualization I: Overview

Lecture 30: Pandas Data Visualization II: Histograms

Lecture 31: Pandas Data Visualization III: Boxplots

Lecture 32: Pandas Data Visualization IV: Scatterplots

Lecture 33: Pandas Data Visualization V: Pie Charts

Lecture 34: Pandas Data Visualization VI: Line plots

Instructors

Henrik Johansson
Instructor at Udemy

Rating Distribution

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5 stars: 49 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!