Data Science for Beginners: 4 Books in 1: Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Scien

Master the world of Python, Data Analysis, Machine Learning and Data Science with this comprehensive 4-in-1 bundle.

Would you like to become a Python geek? Or do you want to learn more about the fascinating world of Machine Learning an Data Science? Well, the solution is right in front of you

With this bundle in your hands, you'll go from beginner to pro in no time. These books and guides are specifically designed for people that have little or no prior knowledge about Python Programming.

Everything inside is designed to be step-by-step, so you can have an easier time understanding the concepts around it.

This comprehensive bundle contains everything you'll need to know to successfully implement Data Science techniques and Machine Learning algorithms through Python. From basic tutorials and exercises to expert coding techniques.

In book one, PYTHON FOR BEGINNERS, you will learn:

• How to install Python
• What are the different Python Data Types, Variables and Basic Operators
• Data Structures, Functions and Files
• Conditional and Loops in Python
• Object-Oriented Programming (OOP), Inheritance and Polymorphism
• Essential Programming Tools and Exception Handling
• And Much More

In book two, PYTHON FOR DATA ANALYSIS, you will:

• Learn the Fundamentals of Data Analysis and why Businesses are Investing in this Sector
• Master the 5 steps of a Proper Data Analysis
• Know what are the 7 Python libraries that make Python one of the best choices for Data Analysis
• Learn how Data Visualization and Matplotlib can help You to Understand the Data you are Working with
• Learn about some of the Main Industries that are Using Data to Improve their Business with 14 real-world Applications
• And Much More

In book three, PYTHON MACHINE LEARNING, you will understand:

• What are the Basics of Machine Learning and how it is Applied in real-world Situations
• What is the Difference between Machine Learning, Deep Learning, and Artificial Intelligence
• How to Implement Machine Learning Training Models, Regression Techniques and Linear Regression in Python
• How to use Lists and Modules in Python
• What are the 12 Essential Libraries for Machine Learning in Python
• How to Correctly use Artificial Neural Networks
• And Much More

And in book four, PYTHON DATA SCIENCE, you will discover:

• What Data Science is all about and why so many Companies are Using it to get a Competitive Edge.
• The main Data Structures & Object-Oriented Programming, Functions and Modules in Python with Practical Codes and Exercises
• The 7 Most Important Algorithms and Models in Data Science
• Data Aggregation, Group Operations, Databases and Data in the Cloud
• 9 important Data Mining techniques in Data Science
• And So Much More

It doesn't matter if you are a beginner, or you never have coded before. This guide will slowly ease you into the world of Data Science. While most of the other similar books put the focus on theory and complicated concepts, this one is designed specifically for beginners.

Furthermore, topics are carefully selected to give you broad exposure, while not overwhelming you with too much information. Also, unlike the majority of books, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.

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