Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from
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The goal of this book is simple: We will teach you the neat things that you can do with data science, so you can finally beat out the competition and increase your bottom line.
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產品詳情
- If you want to make yourself more competitive in your industry, master python programming, and machine learning, then Keep Reading...The truth is...In the modern world, data has become fundamental, and companies are finding new ways to use the insights provided by data to improve their bottom line and customer experience. This is sometimes a challenge. Choose to hire another programmer to do the work, is costly, and if anything ever goes wrong with the program, you still have to pay them.The good news is that working with data science can help you learn more about your customers and your industry, with the use of Python, and give you the insights and predictions that you need to see some great improvements with your business. And that's what you'll learn in Data Science.The goal of this book is simple: We will teach you the neat things that you can do with data science, so you can finally beat out the competition and increase your bottom line.You will learn: Why Data Science is so Important in our Fast-Paced World of Today5 Practical Applications of Data Science How to Install Python on your Operating SystemBest Data Science Libraries to Use with Python7 Main Benefits of Working with PythonProven Strategies to Get High-Quality DataTips and Tricks to Get your Data OrganizedWhy You Should Use Python for Data AnalysisWhat Machine Learning is all About and How it Fit into your Data Science ProjectsLearning how data science works and how to complete your own data analysis in the process is going to be very important to the amount of success that you are going to see. Data Science: 2 Books in 1 is full of step-by-step exercises and hands-on projects that will help you become a Python expert. There is so much that we can do when it comes to using the Python language, especially when we are looking at combining it with machine learning and data analysis.Would You Like to Know More?Get this book Now to Master Python for Data Science!
| Publication date | November, 2020 |
| Author | John Russel |
| Book format | Paperback |
| Genre | Computing & Internet |
| Pages | 218 |
| Age group | Adult, Teen |
| Fiction/nonfiction | Non-Fiction |
| Publisher | John Russel |
| Original languages | English |
| Bisac subject heading | Computers |
| Edition | Standard Edition |
| Language | English |
| Item Weight | 1.5 lbs (680 grams) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for newcomers to data science wanting to learn Python and machine learning fundamentals through practical projects.
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Python Enthusiasts
Great for programmers familiar with Python who wish to apply their skills in data analysis and machine learning contexts.
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Self-learners
Beneficial for individuals seeking structured guidance in machine learning and predictive analytics without prior experience.
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Experienced Data Scientists
Not suitable for seasoned professionals seeking advanced topics or more complex data science theories and applications.
產品敘述
About This Item
Introducing "Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects (Paperback)", the perfect resource for anyone looking to dive into the field of data science and machine learning. In this comprehensive guide, you will find two books packed with valuable information and hands-on projects. The first book, "Python Programming for Data Science", is designed to help you master the fundamentals of Python programming.
Whether you are a beginner or have some programming experience, this book will guide you through the essential concepts and techniques needed to write efficient and effective code. From basic syntax and data structures to advanced topics like object-oriented programming, you will gain the skills necessary to develop powerful data analysis programs. The second book, "Python for Data Science", takes your Python skills to the next level by focusing on its applications in the field of data science. You will learn how to use Python libraries such as NumPy, Pandas, and Matplotlib to process, analyze, and visualize data.
From data cleaning and preprocessing to statistical analysis and machine learning algorithms, you will discover how to extract meaningful insights from raw data. Whether you are a student, professional, or simply interested in the field of data science, this book will provide you with the knowledge and hands-on experience needed to excel in this rapidly growing field. By the end of this guide, you will have a solid foundation in Python programming and data science, enabling you to tackle real-world problems and make data-driven decisions. Don't miss out on the opportunity to become a proficient data scientist. Get your copy of "Data Science: 2 Books in 1: Python Programming & Python for Data Science, The Ultimate Guide to Learn Machine Learning and Predictive Analytics from Scratch with Hands-On Projects (Paperback)" today and embark on an exciting journey into the world of data science and machine learning.
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HKD 312
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特色和優勢
- Learn practical applications of data science
- Discover the best data science libraries and tools to use with Python
- Understand the importance of using Python for data analysis
- Gain insights into machine learning and its role in data science projects
- Get proven strategies and tips for high-quality data analysis
- Master Python for data science through step-by-step exercises and hands-on projects
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