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Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods
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Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods
Learn data mining through Excel and gain a deeper understanding of how data is manipulated and results are obtained.
Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods
Item #: 47116820

Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods

87% of respondents would recommend this to a friend

Item #: 47116820

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Learn data mining through Excel and gain a deeper understanding of how data is manipulated and results are obtained.
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What Stands Out

Step-by-Step Guidance
This book provides a detailed, practical approach to learning data mining using Excel, making complex machine learning concepts accessible for beginners and non-technical readers.
Excel Integration
Utilizing Excel, a widely-used tool, allows readers to apply machine learning techniques without needing advanced programming skills, enhancing both engagement and usability.
Real-World Applications
Focuses on real-life scenarios and examples, helping readers understand how data mining methods can be applied in various industries, thus bridging theory and practice effectively.

Product Details

Shop Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods online at a best price in Haiti. 1484259815
  • Learn popular data mining techniques in Microsoft Excel
  • Gain a transparent understanding of the working mechanics of data mining
  • Examine intermediate results and manipulate data directly in Excel
  • Visualize data mining and build confidence in your results
  • Learn the step-by-step implementation of data mining methods in Excel
  • Suitable for data science visual learners and people skilled in Excel
Publisher Apress
Publication date June 14, 2020
Edition 1st ed.
Language English
Print length 235 pages
ISBN-10 1484259815
ISBN-13 978-1484259818
Item Weight 14.8 ounces (419.58 grams)
Dimensions 7.01 x 0.54 x 10 inches (17.8 x 1.4 x 25.4 cm)

Who Should Buy?

Suitable For
  • Beginners in Data Science

    Ideal for newcomers seeking foundational knowledge in data mining and machine learning using Excel.

  • Excel Enthusiasts

    Perfect for Excel users who want to leverage their skills to explore data mining techniques.

  • Educators and Students

    Useful resource for educators teaching data mining concepts and for students practicing with practical exercises.

Not Suitable For
  • Advanced Users

    Not suitable for experienced data scientists or machine learning practitioners seeking advanced methodologies and tools.

Product Description

Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods

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Customer Questions & Answers

  • Question: What is 'Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods' about?

    Answer: 'Learn Data Mining Through Excel' provides a practical guide to mastering data mining techniques using Microsoft Excel. It combines theoretical concepts with hands-on exercises, allowing readers to grasp essential machine learning methods effectively. This book is especially beneficial for beginners looking to delve into data science, offering a step-by-step approach that simplifies complex algorithms. Users can apply learned techniques in real-world scenarios, such as analyzing customer data or optimizing marketing strategies, making it an invaluable resource for students and professionals alike.
  • Question: Who is the target audience for this book?

    Answer: This book is tailored for anyone interested in data mining and machine learning, particularly beginners and intermediate users. Individuals studying data science, analytics, or related fields will find it particularly useful. Additionally, business professionals seeking to leverage data analysis for decision-making can benefit greatly from the practical examples and accessible explanations given throughout this edition. Its Excel focus means that users familiar with this software will find it easier to apply the methodologies discussed to their own projects.
  • Question: How does this book help in understanding machine learning?

    Answer: 'Learn Data Mining Through Excel' breaks down complex machine learning methods into manageable sections using Excel. Each chapter includes detailed examples and step-by-step guidance, reinforcing understanding through practical application. By the end of the book, readers will be equipped with the knowledge to apply machine learning techniques like clustering, classification, and regression to real datasets. This hands-on approach not only demystifies machine learning but also builds confidence to tackle data-driven problems in professional environments.
  • Question: What skills will I acquire from this book?

    Answer: Readers of this book can expect to acquire valuable skills in data mining and machine learning methodologies. You'll learn how to manipulate data, apply various machine learning algorithms, and interpret the results effectively—all through the familiar interface of Excel. Skills gained can be applied in numerous fields such as marketing, finance, and operations to extract insights from data, improving analytical decision-making processes in any organization.
  • Question: Are there exercises in the book for practice?

    Answer: Yes, 'Learn Data Mining Through Excel' includes practical exercises at the end of each chapter. These exercises are designed to reinforce the concepts introduced, allowing readers to apply what they’ve learned in a hands-on manner. By working through these exercises, readers can build their confidence in using Excel for data mining tasks and fine-tune their ability to analyze and derive insights from datasets effectively.
  • Question: Can I use this book if I have no prior knowledge of data mining?

    Answer: Absolutely! This book is intended for beginners and does not assume prior knowledge of data mining or machine learning. It starts with fundamental concepts and gradually builds up to more complex methodologies. The step-by-step approach is designed to guide readers through the learning process, making it approachable for those who are new to the subject. Users will find clear explanations and supportive resources to help them succeed.
  • Question: Is this book suitable for self-study?

    Answer: Yes, 'Learn Data Mining Through Excel' is exceptionally suited for self-study. The structured format, combined with practical exercises, makes it easy for readers to work at their own pace. Each chapter is self-contained, allowing you to focus on specific topics while the exercises help solidify your understanding. This makes it an excellent choice for those learning independently, as it offers an organized pathway through complex subjects.
  • Question: What version of Excel is required to follow this book?

    Answer: While the book primarily focuses on features available in recent versions of Microsoft Excel, it is compatible with both Excel 2016 and later versions. Many of the functions and tools mentioned are standard in these versions, ensuring a seamless learning experience. Users of earlier versions may still follow along; however, some functionalities or visual displays may differ slightly. The emphasis is on using Excel for data analysis, which remains consistent across versions.
  • Question: How comprehensive is the coverage of machine learning methods?

    Answer: 'Learn Data Mining Through Excel' delivers comprehensive coverage of essential machine learning methods, including clustering, classification, regression, and more. Each method is discussed in detail, with an emphasis on how to implement these techniques in Excel. Users can expect to gain a robust foundation in both the theory and practical application of machine learning, empowering them to tackle diverse data-driven challenges effectively.
  • Question: Where can I buy 'Learn Data Mining Through Excel' in Haiti?

    Answer: You can purchase 'Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods' from Ubuy in Haiti. Ubuy offers a variety of options, making it convenient for you to find the book, along with reviews and ratings that can help you make an informed decision. With a user-friendly interface, Ubuy facilitates a seamless shopping experience for your learning resources.

Microsoft Excel Editorial Review

"Learn Data Mining Through Excel" is a comprehensive guide for beginners who are interested in exploring the world of data mining using Microsoft Excel. The book offers a step-by-step approach that is easy to follow and provides clear explanations of machine learning algorithms in Excel. The author provides screenshots of Excel and step-by-step explanations of embedded Excel functions that make it easy for the reader to understand the process of creating simple data mining models without any prior knowledge of math or coding. The book is an excellent starter material for the visual learner who wants to understand supervised learning models step by step.

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Pros

  • Provides clear explanations of machine learning algorithms in Excel
  • Step-by-step approach that is easy to follow
  • Excellent starter material for beginners
  • Provides screenshots of Excel and step-by-step explanations of embedded Excel functions

Cons

  • Not suitable for readers looking for in-depth math or model theory

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Features & Benefits

  • Use Excel to work with data in a transparent manner
  • Gain a visual representation of data mining
  • Learn the internal hidden patterns inside the data
  • Comprehend data mining using a visual step-by-step approach
  • Build on a theoretical introduction of a data mining method, followed by an Excel implementation
  • Become skilled in creative uses of Excel formulas and functions

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