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Data Science for Beginners : A Complete Overview to Master The Art of Data Science From Scratch Using Python for Business - Python Programming, Data Analysis, Machine Learning - 4 Books in 1 - Andrew Park

Data Science for Beginners

A Complete Overview to Master The Art of Data Science From Scratch Using Python for Business - Python Programming, Data Analysis, Machine Learning - 4 Books in 1

By: Andrew Park

Paperback | 9 February 2021

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? 55% OFF for Bookstores! Now at $49.95 instead of $59.95! ?


Your Customers Will Never Stop To Use This Complete Guide!


Did you know that according to Harvard Business Review the Data Scientist is the sexiest job of the 21st century? And for a reason!

If "sexy" means having rare qualities that are much in demand, data scientists are already there. They are expensive to hire and, given the very competitive market for their services, difficult to retain. There simply aren't a lot of people with their combination of scientific background and computational and analytical skills.

Data Science is all about transforming data into business value using math and algorithms. And needless to say, Python is the must-know programming language of the 21st century.

If you are interested in coding and Data Science, then you must know Python to succeed in these industries!

Data Science for Beginners is the perfect place to start learning everything you need to succeed. Contained within these four essential books are the methods, concepts, and important practical examples to help build your foundation for excelling at the discipline that is shaping the modern word.

This bundle is perfect for programmers, software engineers, project managers and those who just want to keep up with technology.

With these books in your hands, you will:

?     Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops

?     Build upon the fundamentals with advanced techniques like Object-Oriented Programming (OOP), Inheritance, and Polymorphism

?     Discover the importance of Data Science and how to use it in real-world situations

?     Learn the 5 steps of Data Analysis so you can comprehend and analyze data sitting right in front of you

?     Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn

?     Discover how companies can improve their business through practical examples and explanations

?     And Much More!

This bundle is essential for anyone who wants to study Data Science and learn how the world is moving to an open-source platform.

Whether you are a software engineer or a project manager, jump to the next level by developing a data-driven approach and learning how to define a data-driven vision of your business!

Order Your Copy of the Bundle and Let Your Customers Start Their New Career Path Today! 

Industry Reviews

This 4 book set focuses on Python programming. The 1st book details how easy Python is to learn and use as opposed to something C++. I liked that terms are explained in great detail and there are tons of examples. Every step has a screen grab to make sure you are following along in the learning process. Book 2 focuses on data analysis with Python. So anyone in the business world with definitely benefit from this book. The ways Python can streamline and speed up data analysis is examined. Again there are tons of examples and it is easy to follow. Book 3 focuses on Machine Learning. Python seems to be the future of AI, and one who hopes to build a future in that arena needs a strong foundation in Python. The author dispels myths and fears that are common when AI is discussed especially that it will take people's jobs. Instead the author believes AI will create just as many jobs, just in different areas. Book 4's subject is data science. And the benefits Python can bring to that area of business and math. Again, this book is loaded with examples and every formula and chart is explained so well. I was not lost at all. The author comes across as a highly knowledgeable expert imparting credible info. I recommend this to anyone wanting to explore Python more.

?????- J. Mielke

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