

Hero image 0 of Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and (Paperback) by Ai Publishing, 0 of 1
Data Visualization with Python for Beginners: Visualize Your Data using Pandas, Matplotlib and (Paperback) by Ai Publishing
(No ratings yet)
Key item features
- ISBN: 9781733042680
- Condition: New
- Trade paperback
- Language: English
- Pages: 288
- Trade paperback (US). Glued binding. 288 p. Machine Learning & Data Science for Beginners.
- Data Visualization using Python for Beginners Are you looking for a hands-on approach to learn Python for Data Visualization Fast? Do you need to start learning Python for Data Visualization from Scratch?
This book is for you. This book works as a guide to present fundamental Python Libraries and a basis related to Data Visualization using Python. Data science and data visualization are two different but interrelated concepts. Data science refers to the science of extracting and exploring data in order to find patterns that can be used for decision making at different levels. Data visualization can be considered as a subdomain of data science where you visualize data with the help of graphs and tables in order to find out which data is most significant and can help in the identification of important patterns. This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language. It is suggested that you use this book for data visualization purposes only and not for decision making. For decision making and pattern identification, read this book in conjunction with a dedicated book on machine learning and data science. We will start by digging into Python programming as all the projects are developed using it, and it is currently the most used programming language in the world. We will also explore the most-famous libraries for Data Visualization such as Pandas, Numpy, Matplotlib, Seaborn, etc .
What this book offers...
You will learn all about python in three modules, one for Plotting with Matplotlib, one for Plotting with Seaborn, and a final one Pandas for Data Visualization. All three modules will contain hands-on projects using real-world datasets and a lot of exercises.
Clear and Easy to Understand Solutions
All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new skill.
What this book aims to do...
This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data. The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals of Python before working on a project. Beginners in Python coding and Data Science does not have to be scary or frustrating when you take one step at a time.Ready to start practicing and visualizing your data using Python? Click the BUY button now to download this book
Topics Covered:- Basic Plotting with Matplotlib
- Advanced Plotting with Matplotlib
- Introduction to the Python Seaborn Library
- Advanced Plotting with Seaborn
- Introduction to Pandas Library for Data Analysis
- Pandas for Data Visualization
- 3D Plotting with Matplotlib
- Interactive Data Visualization with Bokeh
Specs
- Manual & guide typeInstruction Manual
- Book formatPaperback
- Skill levelBeginner
- Pages288
- LanguageEnglish
- BrandAi Publishing
Current price is USD$24.61
Price when purchased online
- Free shipping
Free 30-day returns
How do you want your item?
Ships to
Arrives between May 13 - May 16
|Sold and shipped by Alibris Books
4.56877189830204 stars out of 5, based on 11131 seller reviews(4.6)11131 seller reviews
Free 30-day returns
More seller options (1)
Starting from $23.93
About this item
Product details
9781733042680. New condition. Trade paperback. Language: English. Pages: 288. Trade paperback (US). Glued binding. 288 p. Machine Learning & Data Science for Beginners. Data Visualization using Python for Beginners Are you looking for a hands-on approach to learn Python for Data Visualization Fast? Do you need to start learning Python for Data Visualization from Scratch?
This book is for you. This book works as a guide to present fundamental Python Libraries and a basis related to Data Visualization using Python. Data science and data visualization are two different but interrelated concepts. Data science refers to the science of extracting and exploring data in order to find patterns that can be used for decision making at different levels. Data visualization can be considered as a subdomain of data science where you visualize data with the help of graphs and tables in order to find out which data is most significant and can help in the identification of important patterns. This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language. It is suggested that you use this book for data visualization purposes only and not for decision making. For decision making and pattern identification, read this book in conjunction with a dedicated book on machine learning and data science. We will start by digging into Python programming as all the projects are developed using it, and it is currently the most used programming language in the world. We will also explore the most-famous libraries for Data Visualization such as Pandas, Numpy, Matplotlib, Seaborn, etc .
What this book offers...
You will learn all about python in three modules, one for Plotting with Matplotlib, one for Plotting with Seaborn, and a final one Pandas for Data Visualization. All three modules will contain hands-on projects using real-world datasets and a lot of exercises.
Clear and Easy to Understand Solutions
All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new skill.
What this book aims to do...
This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data. The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals of Python before working on a project. Beginners in Python coding and Data Science does not have to be scary or frustrating when you take one step at a time.Ready to start practicing and visualizing your data using Python? Click the BUY button now to download this book
Topics Covered:
This book is for you. This book works as a guide to present fundamental Python Libraries and a basis related to Data Visualization using Python. Data science and data visualization are two different but interrelated concepts. Data science refers to the science of extracting and exploring data in order to find patterns that can be used for decision making at different levels. Data visualization can be considered as a subdomain of data science where you visualize data with the help of graphs and tables in order to find out which data is most significant and can help in the identification of important patterns. This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language. It is suggested that you use this book for data visualization purposes only and not for decision making. For decision making and pattern identification, read this book in conjunction with a dedicated book on machine learning and data science. We will start by digging into Python programming as all the projects are developed using it, and it is currently the most used programming language in the world. We will also explore the most-famous libraries for Data Visualization such as Pandas, Numpy, Matplotlib, Seaborn, etc .
What this book offers...
You will learn all about python in three modules, one for Plotting with Matplotlib, one for Plotting with Seaborn, and a final one Pandas for Data Visualization. All three modules will contain hands-on projects using real-world datasets and a lot of exercises.
Clear and Easy to Understand Solutions
All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new skill.
What this book aims to do...
This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data. The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals of Python before working on a project. Beginners in Python coding and Data Science does not have to be scary or frustrating when you take one step at a time.Ready to start practicing and visualizing your data using Python? Click the BUY button now to download this book
Topics Covered:
- Basic Plotting with Matplotlib
- Advanced Plotting with Matplotlib
- Introduction to the Python Seaborn Library
- Advanced Plotting with Seaborn
- Introduction to Pandas Library for Data Analysis
- Pandas for Data Visualization
- 3D Plotting with Matplotlib
- Interactive Data Visualization with Bokeh
- ISBN: 9781733042680
- Condition: New
- Trade paperback
- Language: English
- Pages: 288
- Trade paperback (US). Glued binding. 288 p. Machine Learning & Data Science for Beginners.
- Data Visualization using Python for Beginners Are you looking for a hands-on approach to learn Python for Data Visualization Fast? Do you need to start learning Python for Data Visualization from Scratch?
This book is for you. This book works as a guide to present fundamental Python Libraries and a basis related to Data Visualization using Python. Data science and data visualization are two different but interrelated concepts. Data science refers to the science of extracting and exploring data in order to find patterns that can be used for decision making at different levels. Data visualization can be considered as a subdomain of data science where you visualize data with the help of graphs and tables in order to find out which data is most significant and can help in the identification of important patterns. This book is dedicated to data visualization and explains how to perform data visualization on a variety of datasets using various data visualization libraries written in the Python programming language. It is suggested that you use this book for data visualization purposes only and not for decision making. For decision making and pattern identification, read this book in conjunction with a dedicated book on machine learning and data science. We will start by digging into Python programming as all the projects are developed using it, and it is currently the most used programming language in the world. We will also explore the most-famous libraries for Data Visualization such as Pandas, Numpy, Matplotlib, Seaborn, etc .
What this book offers...
You will learn all about python in three modules, one for Plotting with Matplotlib, one for Plotting with Seaborn, and a final one Pandas for Data Visualization. All three modules will contain hands-on projects using real-world datasets and a lot of exercises.
Clear and Easy to Understand Solutions
All solutions in this book are extensively tested by a group of beta readers. The solutions provided are simplified as much as possible so that they can serve as examples for you to refer to when you are learning a new skill.
What this book aims to do...
This book is written with one goal in mind - to help beginners overcome their initial obstacles to learning Data Visualization using Python. A lot of times, newbies tend to feel intimidated by coding and data. The goal of this book is to isolate the different concepts so that beginners can gradually gain competency in the fundamentals of Python before working on a project. Beginners in Python coding and Data Science does not have to be scary or frustrating when you take one step at a time.Ready to start practicing and visualizing your data using Python? Click the BUY button now to download this book
Topics Covered:- Basic Plotting with Matplotlib
- Advanced Plotting with Matplotlib
- Introduction to the Python Seaborn Library
- Advanced Plotting with Seaborn
- Introduction to Pandas Library for Data Analysis
- Pandas for Data Visualization
- 3D Plotting with Matplotlib
- Interactive Data Visualization with Bokeh
info:
We aim to show you accurate product information. Manufacturers, suppliers and others provide what you see here, and we have not verified it. Â
Specifications
Manual & guide type
Instruction Manual
Book format
Paperback
Skill level
Beginner
Pages
288
Warranty
Warranty information
Please be aware that the warranty terms on items offered for sale by third party Marketplace sellers may differ from those displayed in this section (if any). To confirm warranty terms on an item offered for sale by a third party Marketplace seller, please use the 'Contact seller' feature on the third party Marketplace seller's information page and request the item's warranty terms prior to purchase.
Customer ratings & reviews
0 ratings|0 reviews
This item does not have any reviews yet
