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Statistics: Concepts and Fundamentals for Absolute Beginner

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***** BUY NOW (will soon return to 12.97 $) ***** Are you thinking of learning about Statistics? (For Absolute Beginners) This book is for you. It would seek to explain common terms and concepts in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. The book includes an introduction to i ***** BUY NOW (will soon return to 12.97 $) ***** Are you thinking of learning about Statistics? (For Absolute Beginners) This book is for you. It would seek to explain common terms and concepts in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. The book includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using statistics. From AI Sciences Publisher Published by AI Sciences, the Publisher of Amazon Best Sellers: Hands on Machine Learning with Python, Deep Learning Fundamentals and Data Analysis form Scratch with Python. This book guides beginners through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples and historical origins. Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses. To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations. Target Users This book is written to help you learn the fundamentals concepts in statistics. If you are an absolute beginner in this field, you’ll find that this book explains complex concepts in an easy to understand manner without math or complicated theorical elements. If you are an experienced data scientist, this book gives you a good base from which to explore statistics applications. Topics are carefully selected to give you a broad exposure to statistics. While not overwhelming you with information overload. What’s Inside This Book? Why Learn Statistics? The Scientist in Data Scientist Using Statistics to Lie Using “Statistics” for Credibility Correlation & Causation Random Sampling & Bias in Surveys Inaccurate Data Visualizations The Baseline Effect Reviewing the Basics Measures of Central Tendency About Outliers Measures of Spread Normal Distribution Confidence Intervals Data Visualizations Working with Data Formulating a Hypothesis (or just making a guess) Gathering Data & Comparing with Consequences Data Collection in the Modern World Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: This book is for absolute beginner in statistics. No programming experience is required. Q: Does this book include everything I need to become a statistics expert? A: Unfortunately, no. This book is designed for readers taking their first steps in statistics and further learning will be required beyond this book to master all aspects of statistics.


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***** BUY NOW (will soon return to 12.97 $) ***** Are you thinking of learning about Statistics? (For Absolute Beginners) This book is for you. It would seek to explain common terms and concepts in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. The book includes an introduction to i ***** BUY NOW (will soon return to 12.97 $) ***** Are you thinking of learning about Statistics? (For Absolute Beginners) This book is for you. It would seek to explain common terms and concepts in an intuitive way. The authors used a progressive approach whereby we start out slowly and improve on the complexity of our solutions. The book includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. This book and the accompanying examples, you would be well suited to tackle problems which pique your interests using statistics. From AI Sciences Publisher Published by AI Sciences, the Publisher of Amazon Best Sellers: Hands on Machine Learning with Python, Deep Learning Fundamentals and Data Analysis form Scratch with Python. This book guides beginners through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples and historical origins. Our books may be the best one for beginners; it's a step-by-step guide for any person who wants to start learning Artificial Intelligence and Data Science from scratch. It will help you in preparing a solid foundation and learn any other high-level courses. To get the most out of the concepts that would be covered, readers are advised to adopt a hands on approach which would lead to better mental representations. Target Users This book is written to help you learn the fundamentals concepts in statistics. If you are an absolute beginner in this field, you’ll find that this book explains complex concepts in an easy to understand manner without math or complicated theorical elements. If you are an experienced data scientist, this book gives you a good base from which to explore statistics applications. Topics are carefully selected to give you a broad exposure to statistics. While not overwhelming you with information overload. What’s Inside This Book? Why Learn Statistics? The Scientist in Data Scientist Using Statistics to Lie Using “Statistics” for Credibility Correlation & Causation Random Sampling & Bias in Surveys Inaccurate Data Visualizations The Baseline Effect Reviewing the Basics Measures of Central Tendency About Outliers Measures of Spread Normal Distribution Confidence Intervals Data Visualizations Working with Data Formulating a Hypothesis (or just making a guess) Gathering Data & Comparing with Consequences Data Collection in the Modern World Frequently Asked Questions Q: Is this book for me and do I need programming experience? A: This book is for absolute beginner in statistics. No programming experience is required. Q: Does this book include everything I need to become a statistics expert? A: Unfortunately, no. This book is designed for readers taking their first steps in statistics and further learning will be required beyond this book to master all aspects of statistics.

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