Statistics For Beginners

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Statistics For Beginners

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Author : Matt Foster
language : en
Publisher:
Release Date : 2020-10-06

Statistics For Beginners written by Matt Foster and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Mathematics categories.

Become a Professional at Statistical Analysis and Data Science! Would you like to have the ability to implement statistical methods to your business, draw conclusions and make correct decisions based on them? Statistics play an important role in any industry and business. That's why there's a huge market for individuals who know how to conduct statistical analysis. People who have mastered this skill are considered the modern-day fortune tellers. Their abilities allow them to predict future business trends, market demands, profitability, general market risks, and sales volume! It's easy to get lost in the amount of available sources if you're only getting started. Conducting statistical analysis can be challenging for someone who was never properly introduced to the subject. This guide will help you, whether you're an absolute beginner to data science or an experienced data scientist who wants to learn new skills. Here, Matt Foster will teach you how to process data, predict outcomes, and upgrade your company's operations in the long term. Here's what you'll be able to do after reading this book: Understand and use descriptive statistics Use predictive analytics techniques to turn data into valuable information Use different learning algorithms to optimize your efficiency Analyze past data to predict future trends Integrate data from different sources to conduct a full analysis Use Python for files manipulation and handling Conduct data mining and social media analysis Master Python and PHP languages And so much more! If you're determined to learn statistical analysis, but intimidated by the huge amount of information and unfamiliar terminology, this guide will show you that you don't have to own a degree in data or computer science in order to develop this skill. All you need is this instruction manual, written in a clear, understandable way. The mechanisms are thoroughly explained and the step-by-step methods will help you conquer the world of descriptive statistics. If you want to learn how to conduct statistical analysis and implement it in your business, then Get Your Copy Now!

Statistics For Beginners

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Author : Deborah Oliver
language : en
Publisher:
Release Date : 2021-01-05

Statistics For Beginners written by Deborah Oliver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-05 with Mathematics categories.

This is a book that explains all statistical concepts in layman terms. We will discuss concepts like ratio, average, the proportion to very basic concepts like median, mode, and mean. We will then start discussing scatter plot and box plots along with concepts like variance analysis and a chi-square test that are important to understand statistics better. We will also discuss various statistical teaching methods along with a lot of examples and equations. Statistics is a tough topic so we explain them in simple words which can make us understand the things better. We also discuss charts that visualizing statistics with a lot of examples like pie chart, histogram, line chart, etc. First of all, we will start with a basic introduction to statistics and all the topics we are going to cover The first chapter deals with all basic concepts. We will discuss something that deals with everything in statistics The next chapters deal with the visualization concepts of statistics. We will discuss histograms, line graphs, and a lot of other topics. We will discuss analysis concepts like median, mode, and all other stuff that will help us understand advanced concepts. The next chapter deals with testing procedures which is a basic concept in statistics for testing purposes. The next chapter deals with variance analysis and chi-square test in detail. The last chapter deals with a lot of statistical concepts that coincide with data science like Linear regression and other topics. So why are you waiting? Let us dive into the topic.

Statistics For Absolute Beginners Second Edition

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Author : Oliver Theobald
language : en
Publisher:
Release Date : 2020-06-18

Statistics For Absolute Beginners Second Edition written by Oliver Theobald and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-18 with categories.

Data is collected constantly: how far we travel, who we interact with online and where we spend our money. Every bit of data has a story to tell but isolated, these morsels of information lie dormant and useless, like unattached Lego blocks. Written by the author of Amazon Best Seller Machine Learning for Absolute Beginners, this book guides you through the fundamentals of inferential and descriptive statistics with a mix of practical demonstrations, visual examples, historical origins, and plain English explanations. As a resource for beginners, this book won't teach you how to beat the market or predict the next U.S. election but ensures a concise and simple-to-understand supplement to a standard textbook. This includes an introduction to important techniques used to infer predictions from data, such as hypothesis testing, linear regression analysis, confidence intervals, probability theory, and data distribution. Descriptive statistics techniques such as central tendency measures and standard deviation are also covered in this book. Full Overview of Book Themes Historical Development of Statistics Data Sampling Central Tendency Measures Measures Of Spread Measures Of Position Designing Hypothesis Tests Probability & Bayes Theory Regression Analysis Clustering Analysis As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time.

Statistics For Absolute Beginners

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Author : O.Theobald
language : en
Publisher: Independently Published
Release Date : 2017-09-28

Statistics For Absolute Beginners written by O.Theobald and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-28 with categories.

As the launch pad to quantitative research, business optimization or a promising career in data science, it's never been a better time to brush up on statistics or learn these concepts for the very first time. Written by the author of the popular learning resource "Machine Learning for Absolute Beginners," this book will guide you through important techniques in inferential statistics. This includes linear regression, standard deviation, probability, hypothesis testing, and clustering analysis, to prepare you for further study in the field of statistics, applied research or data science. Topics covered in this book: Sampling & PermutationsCentral Tendency MeasuresMeasures of SpreadMeasures of PositionHypothesis TestingProbabilityBinomial ProbabilityRegression AnalysisClustering Analysis Please feel welcome to join this hands-on introductory course by buying a copy, or sending a free sample to your preferred device.

Statistics For Dummies

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Author : Deborah J. Rumsey
language : en
Publisher: John Wiley & Sons
Release Date : 2011-04-12

Statistics For Dummies written by Deborah J. Rumsey and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-12 with Mathematics categories.

Statistics For Dummies, 2nd Edition (9780470911082) is now being published as Statistics For Dummies, 2nd Edition (9781119293521). While this version features an older Dummies cover and design, the content is the same as the new release and should not be considered a different product. The fun and easy way to get down to business with statistics Stymied by statistics? No fear ? this friendly guide offers clear, practical explanations of statistical ideas, techniques, formulas, and calculations, with lots of examples that show you how these concepts apply to your everyday life. Statistics For Dummies shows you how to interpret and critique graphs and charts, determine the odds with probability, guesstimate with confidence using confidence intervals, set up and carry out a hypothesis test, compute statistical formulas, and more. Tracks to a typical first semester statistics course Updated examples resonate with today's students Explanations mirror teaching methods and classroom protocol Packed with practical advice and real-world problems, Statistics For Dummies gives you everything you need to analyze and interpret data for improved classroom or on-the-job performance.

Interpreting Statistics For Beginners

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Author : Vladimir Hedrih
language : en
Publisher: Routledge
Release Date : 2022-02-24

Interpreting Statistics For Beginners written by Vladimir Hedrih and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-24 with Psychology categories.

Interpreting Statistics for Beginners teaches readers to correctly read and interpret results of basic statistical procedures as they are presented in scientific literature, and to understand what they can and cannot infer from such results. The first of its kind, this book explains key elements of scientific paradigms and philosophical concepts that the use of statistics is based on and introduces readers to basic statistical concepts, descriptive statistics and basic elements and procedures of inferential statistics. Explanations are accompanied with detailed examples from scientific publications to demonstrate how the procedures are used and correctly interpreted. Additionally, Interpreting Statistics for Beginners shows readers how to recognize pseudoscientific claims that use statistics or statements not based on the presented data, which is an important skill for every professional relying on statistics in their work. Written in an easy-to-read style and focusing on explaining concepts behind statistical calculations, the book is most helpful for readers with no previous training in statistics, and also those wishing to bridge the conceptual gap between doing the statistical calculations and interpreting the results.

Statistics For Beginners In Data Science

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Author : Ai Publishing
language : en
Publisher:
Release Date : 2020-04-18

Statistics For Beginners In Data Science written by Ai Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-18 with categories.

Statistics for Beginners in Data Science Statistical methods are an integral part of data science. Hence, a formal training in statistics is indispensable for data scientists. If you are keen on getting your foot into the lucrative data science and analysis universe, you need to have a fundamental understanding of statistical analysis. Besides, Python is a versatile programming language you need to master to become a career data scientist. As a data scientist, you will identify, clean, explore, analyze, and interpret trends or possible patterns in complex data sets. The explosive growth of Big Data means you have to manage enormous amounts of data, clean it, manipulate it, and process it. Only then the most relevant data can be used. Python is a natural data science tool as it has an assortment of useful libraries, such as Pandas, NumPy, SciPy, Matplotlib, Seaborn, StatsModels, IPython, and several more. And Python's focus on simplicity makes it relatively easy for you to learn. Importantly, the ease of performing repetitive tasks saves you precious time. Long story short--Python is simply a high-priority data science tool. How Is This Book Different? The book focuses equally on the theoretical as well as practical aspects of data science. You will learn how to implement elementary data science tools and algorithms from scratch. The book contains an in-depth theoretical and analytical explanation of all data science concepts and also includes dozens of hands-on, real-life projects that will help you understand the concepts better. The ready-to-access Python codes at various places right through the book are aimed at shortening your learning curve. The main goal is to present you with the concepts, the insights, the inspiration, and the right tools needed to dive into coding and analyzing data in Python. The main benefit of purchasing this book is you get quick access to all the extra content provided with this book--Python codes, exercises, references, and PDFs--on the publisher's website, at no extra price. You get to experiment with the practical aspects of Data Science right from page 1. Beginners in Python and statistics will find this book extremely informative, practical, and helpful. Even if you aren't new to Python and data science, you'll find the hands-on projects in this book immensely helpful. The topics covered include: Introduction to Statistics Getting Familiar with Python Data Exploration and Data Analysis Pandas, Matplotlib, and Seaborn for Statistical Visualization Exploring Two or More Variables and Categorical Data Statistical Tests and ANOVA Confidence Interval Regression Analysis Classification Analysis Click the BUY button and download the book now to start learning and coding Python for Data Science.

Statistics For Beginners

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Author : Deborah Oliver
language : en
Publisher:
Release Date : 2019-11-02

Statistics For Beginners written by Deborah Oliver and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-02 with categories.

This is a book that explains all statistical concepts in layman terms. We will discuss concepts like ratio, average, the proportion to very basic concepts like median, mode and mean. We will then start discussing scatter plot and box plots along with concepts like variance analysis and a chi-square test that are important to understand statistics better. We will also discuss various statistical teaching methods along with a lot of examples and equations. Statistics is a tough topic so we explain them in simple words which can make us understand the things better. We also discuss charts that visualizing statistics with a lot of examples like pie chart, histogram, line chart, etc. First of all, we will start with a basic introduction to statistics and all the topics we are going to cover The first chapter deals with all basic concepts. We will discuss something that deals with everything in statistics The next chapters deal with the visualization concepts of statistics. We will discuss histograms, line graphs and a lot of other topics. We will discuss analysis concepts like median, mode and all other stuff that will help us understand advanced concepts. The next chapter deals with testing procedures which is a basic concept in statistics for testing purposes. The next chapter deals with variance analysis and chi-square test in detail. The last chapter deals with a lot of statistical concepts that coincide with data science like Linear regression and other topics. So why are you waiting? Let us dive into the topic.

Statistics Essentials For Beginner In Data Science

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Author : Jay Mishra
language : en
Publisher: AI Sciences LLC
Release Date : 2019-01-27

Statistics Essentials For Beginner In Data Science written by Jay Mishra and has been published by AI Sciences LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-27 with categories.

***** BUY NOW (will soon return to 24.95 $) *****Are you thinking of learning Statistics fundamentals for Data Science? If you are looking for a beginner book to master Statistics Learning fundamentals for Data Science, this book is for you. Who Should Read this Book?Aspiring data scientists who are looking forward to begin their journey in the vast field of data science. People who are seeking to learn and understand data analysis from its very deep-rooted basics have found the right book. Clear basic concepts make the foundation of a good knowledge base, which ultimately helps to gain sharp insights into this topic further. This book will give you the practical exposure along with its theory explained comprehensively. This book is the perfect compilation for beginners as well as intermediate learners who intend to learn statistics and data analysis techniques. Why this book?This book will guide you step by step from the very basics to how you can start your own data science project. The best part about this book is its structure, it's structured in such a way that integrates practicals along with its theory to make the concepts easily understandable. It will help you to understand a basic concept like mean, median, mode, scatter plot and histograms. Thus ensures no prior knowledge is required to start learning from this book. The content of this book is specially designed to encompass all the concepts that come under the domain of data science. This book will guide you through the problems and concepts of statistics. What is statistics?h2>Most of the people think statistics in data science is something different and more profound than what we learnt in our mathematics classes but it's not. It is the same concept of data collection followed by its organization, interpretation and presentation. Statistics is the key to develop a desired model in machine learning. Using statistics you can convert your raw meaningless chunk of data to a well-structured informative data. What's Inside This Book? Probability & Bayes Theorem, Data Exploration and Analysis Structured Data Estimates Mean and Median Estimates Variability Exploring the data distribution Percentiles and Boxplots Frequency table and Histograms Density Estimates Mode Correlation Categorical and Numeric Data Visualizing Multiple Variables Regression Analysis Clustering Analysis Statistical tests and ANOVA Classification Naïve Bayes Discriminant Analysis Linear regression Logistic Regression Statistical Machine Learning K_Nearest Neighbor Trees Models Bagging and Random Forest Boosting algorithms Principal Component Analysis K_means Clustering Hierarchical Clustering Model Based Clustering Sources & References From AI Sciences PublishingOur 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. Readers are advised to adopt a hands on approach, which would lead to better mental representations.Frequently Asked QuestionsQ: Does this book include everything I need to become a data analyst expert?A: Unfortunately, no. This book is designed for readers taking their first steps in statistics and data science and further learning will be required beyond this book to master all aspects. Q: Can I have a refund if this book doesn't fit for me?A: Yes, Amazon refund you if you aren't satisfied, for more information about the amazon refund service please go to the amazon help platform.***** MONEY BACK GUARANTEE BY AMAZON *****

Statistics For Psychology

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Author : Roger Watt
language : en
Publisher: SAGE
Release Date : 2019-03-30

Statistics For Psychology written by Roger Watt and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-30 with Psychology categories.

This short, concise book will guide the reader to an understanding of the principles behind the myriad of statistical practices they might encounter during their Psychology degree and beyond.