Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science - PDF & ePUB Download

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Download Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science ebook
ePUB
  • eBook:
    Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science
  • Author:
    Alex Campbell
  • Edition:
    -
  • Categories:
  • Data:
    January 10, 2021
  • ISBN:
    B08SPDBDSS
  • ISBN-13:
    -
  • Language:
    English
  • Pages:
    68 pages
  • Format:
    ePUB

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Description of Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science ebook

Download Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science, pdf, epub free. Do you wonder what the fascination is around data these days? How do we obtain insights from this data? Do you know what a data scientist does? What is artificial intelligence and machine learning? Are these the same as data science? What does it take to become a data scientist? If you have ever wondered about these questions, you have come to the right place!

There are many resources and courses online that you can use to learn more about data science, but with so much information available, it can become overwhelming. One of the best ways to learn about data science is to understand different machine learning concepts, statistics, and artificial intelligence to help you design models to perform an analysis.

This book has all the information you need to learn what data science is, and what the prerequisites are to become a data scientist. If you’re a beginner or if you already have experience in data science, this book will have something for you.

In this book, you will:

Learn what data science is about.
Discover the difference between data science and business intelligence.
Explore the tools required for data science.
Find out the technical and non-technical skills every data scientist must have.
Figure out how to create a visualization of the data set with clear and easy examples.
Get advice on developing a Predictive Model Using R.
Uncover detailed applications of data science.
And much more!
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Content

Chapter One: Introduction to Data Science
Chapter Two: Pros and Cons of Data Science
Chapter Three: Statistics for Data Science
Chapter Four: Skills Required for Data Science
Chapter Five: Tools Required for Data Science
Chapter Six: Application of Data Science
Chapter Seven:  Algorithms and Statistics
Chapter Eight: Data Science in a Sector
Chapter Nine: Data Cleaning Using R
Chapter Ten: Develop a Predictive Model Using R
Chapter Eleven: Create Data Visualization to Communicate the Insight
Chapter Twelve: Document Your Insights from the Data

Download pdf, epub, Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science

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