Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization
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Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization
Python Coding and Python for Data Analysis for Beginners with Hands-On ProjectsÂ
Are you looking for a hands-on approach to learn Python coding and Python for Data Analysis fast?
Do you need to start learning Python coding and Data Analysis from Scratch?
This book is for you.
This book works as guide to present fundamental concepts, theory, examples and hands-on project related to Data Analysis using Python.
This book is for anyone interested in Data Analysis. It contains crucial definitions, theoretical explanations, presentation of tools, as well as direct examples and tutorials.
If you feel uncomfortable with any of those topics, do not worry. An explanation for beginners will always be performed along this book, as well as further sources. The language utilized on this book is Python, and there are some chapters dedicated to the language applied.
The book will achieve this by not only having an in-depth theoretical and analytical explanation of all concepts but also including hands-on, real-life projects that will help you understand the concepts better.
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 analysis such as Pandas, Numpy, Seaborn, etc .
While we will focus more on the techniques normally used in basic Python Programming, we will also explain, in-details, all the Data Analysis Libraries used in any data science project.
What this book offers...Â
You will learn all about python in three modules, one for Python Coding, one for Data Manipulation and Preprocessing (Numpy and Pandas), and a final one for Data Visualization (Pandas, Matplotlib, Seaborn and Bokeh). All three modules will contain hands-on projects using real-world datasets.
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...Â
This book is written with one goal in mind – to help beginners overcome their initial obstacles to learning Python and Python for data analysis.
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 at the end of the chapter.
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 analyze your data using Python? Click the BUY button now to download this book
Topics Covered:
Click the BUY button and download the book now to start learning and coding Python for Data Analysis.
** MONEY BACK GUARANTEE BY AMAZON **
If you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform or contact us by sending an email at [email protected].
**GET YOUR COPY NOW, the price will be 12.99$ soon**
Are you looking for a hands-on approach to learn Python coding and Python for Data Analysis fast?
Do you need to start learning Python coding and Data Analysis from Scratch?
This book is for you.
This book works as guide to present fundamental concepts, theory, examples and hands-on project related to Data Analysis using Python.
This book is for anyone interested in Data Analysis. It contains crucial definitions, theoretical explanations, presentation of tools, as well as direct examples and tutorials.
If you feel uncomfortable with any of those topics, do not worry. An explanation for beginners will always be performed along this book, as well as further sources. The language utilized on this book is Python, and there are some chapters dedicated to the language applied.
The book will achieve this by not only having an in-depth theoretical and analytical explanation of all concepts but also including hands-on, real-life projects that will help you understand the concepts better.
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 analysis such as Pandas, Numpy, Seaborn, etc .
While we will focus more on the techniques normally used in basic Python Programming, we will also explain, in-details, all the Data Analysis Libraries used in any data science project.
What this book offers...Â
You will learn all about python in three modules, one for Python Coding, one for Data Manipulation and Preprocessing (Numpy and Pandas), and a final one for Data Visualization (Pandas, Matplotlib, Seaborn and Bokeh). All three modules will contain hands-on projects using real-world datasets.
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...Â
This book is written with one goal in mind – to help beginners overcome their initial obstacles to learning Python and Python for data analysis.
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 at the end of the chapter.
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 analyze your data using Python? Click the BUY button now to download this book
Topics Covered:
- Introduction to Data Analysis?
- Python for Data Analysis - Basics
- Python for Data Analysis - Advanced
- . IPython and Jupyter Notebooks
- Numpy for Numerical Data Processing
- Pandas for Data Manipulation
- Data Visualization
- ..and more...
Click the BUY button and download the book now to start learning and coding Python for Data Analysis.
** MONEY BACK GUARANTEE BY AMAZON **
If you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform or contact us by sending an email at [email protected].
**GET YOUR COPY NOW, the price will be 12.99$ soon**
Technical Specifications
Country
USA
Author
AI Publishing
Binding
Kindle Edition
EISBN
9781733042642
Format
Kindle eBook
IsAdultProduct
0
Label
AI Publishing LLC
Manufacturer
AI Publishing LLC
NumberOfPages
214
PublicationDate
2019-09-06
Publisher
AI Publishing LLC
ReleaseDate
2019-09-06
Studio
AI Publishing LLC
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