Название: Python Data Science: Learn Python in a Week and Master It. An Hands-On Introduction to Big Data Analysis and Mining, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 3)Автор: Computer Programming Academy
Издательство: Computer Programming Academy
Год: 2020
Страниц: 113
Язык: английский
Формат: pdf, azw3
Размер: 10.1 MB
Would you like to learn to use Python extracting meaningful insight from data to grow your business but you reckon it will be too complex? Or perhaps you want to know how to analyze data to solve simple domestic issues but you don’t know how to do it?
The following chapters will discuss the fundamental concepts of data science technologies that can be used to analyze raw data and generate predictions and resolve business problems. There are 7 chapters in this book, crafted specifically to help you master all the data analysis concepts required to produce meaningful insight from a large volume of data in just a week (7 chapters for 7 days). This protocol, tested on both total beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result of this method has been one for both categories of students: the content of the course was learned faster and remembered longer respect the average.
Inside this book, you will go through a first section in which fundamental and basic notions of data science are discussed, to get to the next chapters crafted specifically to help you learn all the advance data analysis concepts required to produce valuable outcomes from a large volume of data. Chapter six, entitled “Data Analysis Libraries”, is a deep dive into the functioning of different Python based data analysis libraries including IPython, Jupyter Notebook, Pandas, Matplotlib among others. You will learn how these powerful libraries can be used to analyze real life data set with select open source sample dataset that you can download and gain hands-on experience with.
In the detail, you will learn:
The importance of data science technologies in our daily lives
What are the most common mistakes to avoid when you start dealing with Python for data science
The 5 stages of the data science lifecycle at the basis of most used applications
3 important actions required to gain insights from big data
What are the advantages of the data mining process in resolving real world problems
The data analysis tools that will make your life easier
3 key frameworks that you have to know to transform unstructured and unorganized data in significant insight
How to download and use the main Python based data analysis libraries
A simple method to implement predictive analytics to resolve a business issue in less than 7 days
A proven strategy to develop predictive models to analyze customers’ behavior
Exercises and quizzes at the end of every chapter to review immediately what you’ve learned
Extra content that you will appreciate as curious technology enthusiast
Why is this book different for? Most of the books on the market only take a brief look into data science, showing some of the topics but never going deep concretely. The best way to learn data analysis and data mining is by doing and with this manual you will work through applicable projects in order to solidify your knowledge and obtain a huge sense of achievement.
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