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Book details
File Size: 1.32 MB
Format: epub
Print Length: 156 pages
Publication Date: November 11, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B081D274DP
Have you heard a lot of buzz around terms like data science, data analysis, and machine learning, and you want to see how your business can benefit from these topics? Then this guidebook is the right one for you!
In this guidebook, we are going to take some time to explore data science and what it can do for your own business. There are a lot of different tools out there that can help you to get ahead of the competition, and see the results that you want, but none of them are as successful, and backed by concrete data like data science is.
Inside this guidebook, we are actively going to look at what data science is all about, and how well it can work with the Python language. From gathering your data to cleaning it, analyzing it, and picking out the right kind of visualizations, all of the steps and techniques that you need to use will be present right here! We will even take a look at some of the different types of coding that you can do when working with the Python language.
There are a lot of steps that come with performing your own data science project and using that data to help lead your business decisions. This guidebook is going to help you to make more sense out of that data and get ahead of the competition.
Some of the topics that we are going to discuss in this guidebook will include:
What is data science and why it is important to your business?
A bit about the Python language and how we can make this work well with any data science project
Some of the basics of writing code in Python and how we can learn this language in no time
The importance of data analysis and how Python can make this happen.
Some of the best Python libraries that work well for data science.
How to work with the data science pipeline.
The steps of a data science project, from gathering data to the analysis.
Why data visualization is so important to the process and can help you see good results.
When it is time to see what data analysis can do for you, and how it can get your business ahead of the competition, it is time to take into account at how data science with Python can work for you! This beginner’s guidebook contains all of the information and tips that you need in order to get started today! Click Buy Now to get started!
Book details
File Size: 1.32 MB
Format: epub
Print Length: 156 pages
Publication Date: November 11, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B081D274DP
Have you heard a lot of buzz around terms like data science, data analysis, and machine learning, and you want to see how your business can benefit from these topics? Then this guidebook is the right one for you!
In this guidebook, we are going to take some time to explore data science and what it can do for your own business. There are a lot of different tools out there that can help you to get ahead of the competition, and see the results that you want, but none of them are as successful, and backed by concrete data like data science is.
Inside this guidebook, we are actively going to look at what data science is all about, and how well it can work with the Python language. From gathering your data to cleaning it, analyzing it, and picking out the right kind of visualizations, all of the steps and techniques that you need to use will be present right here! We will even take a look at some of the different types of coding that you can do when working with the Python language.
There are a lot of steps that come with performing your own data science project and using that data to help lead your business decisions. This guidebook is going to help you to make more sense out of that data and get ahead of the competition.
Some of the topics that we are going to discuss in this guidebook will include:
What is data science and why it is important to your business?
A bit about the Python language and how we can make this work well with any data science project
Some of the basics of writing code in Python and how we can learn this language in no time
The importance of data analysis and how Python can make this happen.
Some of the best Python libraries that work well for data science.
How to work with the data science pipeline.
The steps of a data science project, from gathering data to the analysis.
Why data visualization is so important to the process and can help you see good results.
When it is time to see what data analysis can do for you, and how it can get your business ahead of the competition, it is time to take into account at how data science with Python can work for you! This beginner’s guidebook contains all of the information and tips that you need in order to get started today! Click Buy Now to get started!