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Data Science for Beginners: What You Have to Know about Data Analytics, Data Mining, Data Security, Statistics, Coding and Tips
This guide will discuss everything that you need to know about data science because It is impossible not to use it in your job. As data science and big data gets more popular, it is being used in more companies than ever before because of how efficient it is.
Throughout the book, you are going to find out some of the problems that data science has and how to fix them, and the problems that it has fixed.
Data Science is one area of life that will continue to interest and surprise us with new topics, products, innovations, and new ideas. By the time you read the last chapter of this book you will have a clear picture on a proper and efficient use of data and how it can improve your life in many ways.
OK. So, what will you learn from reading this book? The key topics that we are going to cover in the following chapters are:
• Introduction to Data science
• How to Think About Data
• Importance of data in Business
• The Art of Data Science
• Big Data and its value
• Data Science as a Change Agent
• How to Use Data Science Right?
• Data Security – Protect Major Enterprise Assets Data in the Cloud
• Data Science Modeling and Featurization
• Mining Techniques Data Scientists Require for Their Own Toolbox
• Tips for Data Science
• Difference between business intelligence and data science
• Data science: Tools and skills in data science
This is not the end of Data science, there is still more to learn from Data science. Who knows what big data and its value will do in the future.
Throughout the book, you are going to find out some of the problems that data science has and how to fix them, and the problems that it has fixed.
Data Science is one area of life that will continue to interest and surprise us with new topics, products, innovations, and new ideas. By the time you read the last chapter of this book you will have a clear picture on a proper and efficient use of data and how it can improve your life in many ways.
OK. So, what will you learn from reading this book? The key topics that we are going to cover in the following chapters are:
• Introduction to Data science
• How to Think About Data
• Importance of data in Business
• The Art of Data Science
• Big Data and its value
• Data Science as a Change Agent
• How to Use Data Science Right?
• Data Security – Protect Major Enterprise Assets Data in the Cloud
• Data Science Modeling and Featurization
• Mining Techniques Data Scientists Require for Their Own Toolbox
• Tips for Data Science
• Difference between business intelligence and data science
• Data science: Tools and skills in data science
This is not the end of Data science, there is still more to learn from Data science. Who knows what big data and its value will do in the future.
102 pages, Kindle Edition
Published March 3, 2019
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Displaying 1 of 1 review
October 23, 2019
I suppose for five dollars I can give it two stars; the writing is choppy, repeats, and is hard to follow. I'm not sure any editing was done, it feels like a stream-of-consciousness essay half the time. It does a brief overview of data science in general, which is implied from the title but it was shallow information IMO. If you've literally never heard of "data science", maybe worth the price, but otherwise skip it.
Displaying 1 of 1 review