Maths And Stats For Web Analytics And Conversion Optimization

Download or read book Maths and STATS for Web Analytics and Conversion Optimization written by Himanshu Sharma and published by Blurb. This book was released on 2015-11-03 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: The role of maths and statistics in the world of web analytics is not clear to many marketers. Not many talk or write about the usage of statistics and data science in conversion optimization. This book has been written to fill this knowledge gap.This expert guide will teach you exactly what you need to know. It will teach you how to leverage the knowledge of maths and statistics in order to accurately interpret data and take actions which can quickly improve the bottom-line of your online business. Every topic covered in this book has something to do directly with your day to day job. This book covers vital topics on maths and statistics which every internet marketer/web analyst should get familiar with in order to achieve optimum results from their analysis, marketing campaigns and conversion optimization efforts. It explains some of the most useful statistics terms/concepts one by one and will also show you their practical use in web analytics and conversion optimization, so that you can take advantage of them straightaway. "

Download or read book Attribution Modelling in Google Analytics and Beyond written by Himanshu Sharma and published by Blurb. This book was released on 2021-09-29 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attribution modelling is the process of understanding and assigning conversion credit to marketing channels. The primary objective of attribution modelling is to understand the buying behaviour of your website visitors and to determine the most effective marketing channels for investment at a particular point in time. A lot has been said about attribution modelling over the years. However, talking about attribution is the easy bit. Implementing it is the real challenge. This book has been written to help you implement attribution modelling in your organisation. This expert guide will help your organisation think about marketing holistically. It will teach you to leverage the knowledge of attribution modelling while allocating your marketing budget and helping you understand your users' buying behaviour. In this book, there is a strong focus on using Google Analytics and other Google tools and technologies, such as Google Ads (AdWords). I have explained various attribution models mainly in the context of Google Analytics. However, a large portion of this book does not deal with Google Analytics at all. So even if you have never used Google Analytics before, you can still benefit from this book. To get the maximum benefit from this book, you will need a working knowledge of Google Analytics and ecommerce. No knowledge of statistics or traditional marketing mix modelling is required. Any person who wants to improve the online performance of their business and marketing campaigns should read this book. Online marketers, web analysts, and data scientists will benefit the most from this book. If you have a strong background in traditional marketing mix modelling you will benefit tremendously from this book because it will enable you to integrate attribution modelling data with your MMM data. By feeding the attribution modelling data to your MMM model you can truly measure your overall marketing effectiveness and fix attribution issues.

Download or read book The Book of R written by Tilman M. Davies and published by No Starch Press. This book was released on 2016-07-16 with total page 833 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Download or read book Mathematics for Machine Learning written by Marc Peter Deisenroth and published by Cambridge University Press. This book was released on 2020-04-23 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.

Download or read book Attribution Modelling in Google Ads and Facebook written by Himanshu Sharma and published by Blurb. This book was released on 2020-11-27 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Attribution modelling is the process of understanding the customer purchasing journey and determining the most effective marketing channels / campaigns for investment at a particular point in time. A lot has been said about attribution modelling over the years. However, talking about attribution is the easy bit, implementing it is the real challenge. This book has been written to help you implement attribution modelling in Google Ads (formerly Google AdWords) and Facebook. This expert guide will teach you, how to leverage the knowledge of attribution modelling in order to understand the customer purchasing journey and to determine the most effective marketing channels for investment.

Download or read book Digital marketing like a PRO written by Clo Willaerts and published by Lannoo Meulenhoff - Belgium. This book was released on 2023-01-31 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: How do you translate your business objectives into a digital marketing strategy? What are today's best practices for content marketing, email marketing, social media and online advertising? What is the practical use for new technologies like Augmented and Virtual Reality, the Internet of Things, Artificial Intelligence and chatbots? Digital Marketing like a PRO is an easy to follow, step-by-step marketing guide that helps you maximize all digital channels. Packed with models, information and examples to help you succeed, it is free of fluff and noise so you can get to work quickly. Whether you're new to marketing or a long-time professional seeking to boost your skills, this digital marketing handbook will help you save time, energy and resources as you learn from tested industry models and best practices.

Download or read book Data Analysis Using SQL and Excel written by Gordon S. Linoff and published by John Wiley & Sons. This book was released on 2010-09-16 with total page 698 pages. Available in PDF, EPUB and Kindle. Book excerpt: Useful business analysis requires you to effectively transform data into actionable information. This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.