Author: Marc J. Kuchner Publisher: Island Press ISBN: 1610911733 Category : Science Languages : en Pages : 248
Book Description
It's a tough time to be a scientist: universities are shuttering science departments, federal funding agencies are facing flat budgets, and many newspapers have dropped their science sections altogether. But according to Marc Kuchner, this antiscience climate doesn't have to equal a career death knell-it just means scientists have to be savvier about promoting their work and themselves. In Marketing for Scientists, he provides clear, detailed advice about how to land a good job, win funding, and shape the public debate. As an astrophysicist at NASA, Kuchner knows that "marketing" can seem like a superficial distraction, whether your daily work is searching for new planets or seeking a cure for cancer. In fact, he argues, it's a critical component of the modern scientific endeavor, not only advancing personal careers but also society's knowledge. Kuchner approaches marketing as a science in itself. He translates theories about human interaction and sense of self into methods for building relationships-one of the most critical skills in any profession. And he explains how to brand yourself effectively-how to get articles published, give compelling presentations, use social media like Facebook and Twitter, and impress potential employers and funders. Like any good scientist, Kuchner bases his conclusions on years of study and experimentation. In Marketing for Scientists, he distills the strategies needed to keep pace in a Web 2.0 world.
Author: Terry Grapentine Publisher: Business Expert Press ISBN: 160649368X Category : Business & Economics Languages : en Pages : 260
Book Description
Marketing decisions often misfire when driven more by beliefs than by knowledge. This book will guide you on how to differentiate between the two and to think more clearly and correctly when making those decisions, thereby increasing organizational success. The author has based this book on the fields of epistemology—the study of how knowledge is created—and the philosophy of science— the study of what it means for a science to be called a science. The motivation behind the book is quite simple: Given that science is so successful, why shouldn’t marketers borrow thinking and reasoning skills from science and apply them to marketing? Indeed, why not? The book details the groundwork for learning how to apply scientific reasoning to the field of marketing, such as some basic and important definitions (“What is a belief?” “What is knowledge?”), and identifies barriers to scientific reasoning, giving an example from the Dow Chemical Company and just how Dow uses critical thinking and reasoning skills to make more effective marketing and business decisions. You’ll also learn some real “thinking tools” you will need to apply scientific reasoning to solving your marketing problems. It introduces topics relating to attributes versus constructs, the meaning of causation, the relationship between coherence and justified beliefs, the importance of logic to sound reasoning, and the avoidance of logical fallacies in making sound recommendations. The book concludes by giving you direction to further improve your ability to apply scientific reasoning to solving marketing problems.
Author: Philip Hans Franses Publisher: Cambridge University Press ISBN: 1139428845 Category : Business & Economics Languages : en Pages : 222
Book Description
Advances in data collection and data storage techniques have enabled marketing researchers to study the individual characteristics of a large range of transactions and purchases, in particular the effects of household-specific characteristics. This 2001 book presents important and practically relevant quantitative models for marketing research. Each model is presented in detail with a self-contained discussion, which includes: a demonstration of the mechanics of the model, empirical analysis, real world examples, and interpretation of results and findings. The reader of the book will learn how to apply the techniques, as well as understand the methodological developments in the academic literature. Pathways are offered in the book for students and practitioners with differing numerical skill levels; a basic knowledge of elementary numerical techniques is assumed.
Author: Jon DiPietro Publisher: Momentum Press ISBN: 1606502530 Category : Technology & Engineering Languages : en Pages : 228
Book Description
This book explores the rising phenomena of internet-based social networking and discusses the particular challenges faced by engineers and scientists in adapting to this new, content-centric environment. Social networks are both a blessing and a curse to the engineer and scientist. The blessings are apparent: the abundance of free applications and their increasing mobility and transportability. The curse is that creating interesting and compelling content on these user-driven systems is best served by right-brain skills. But most engineers and scientists are left-brain oriented, have generally shunned the right-brain skills like graphic design and creative writing as being indulgent and time wasting. The problem is, those are exactly the skills required to create compelling content. This book will help engineers and scientists re-acquire those right-brain skills and put them to best use in the new world of internet-based social media technologies. The reader will benefit from: * An emphasis on the growing role that social media technology -like Facebook, LinkedIn, Twitter, will play in professions like science and engineering. * The "How to" in understanding the importance of continuous streaming of content over time for both professional presence and for collaborative effort--the key in today's team approach to engineering and science. * The valuable help for quantitative people like engineers and scientists in setting up social media sites, requiring qualitative skills.
Author: Chris Chapman Publisher: Springer ISBN: 3319144367 Category : Business & Economics Languages : en Pages : 454
Book Description
This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical models from a conceptual point of view with a minimal amount of mathematics, presuming only an introductory knowledge of statistics. Hands-on chapters accelerate the learning curve by asking readers to interact with R from the beginning. Core topics include the R language, basic statistics, linear modeling, and data visualization, which is presented throughout as an integral part of analysis. Later chapters cover more advanced topics yet are intended to be approachable for all analysts. These sections examine logistic regression, customer segmentation, hierarchical linear modeling, market basket analysis, structural equation modeling, and conjoint analysis in R. The text uniquely presents Bayesian models with a minimally complex approach, demonstrating and explaining Bayesian methods alongside traditional analyses for analysis of variance, linear models, and metric and choice-based conjoint analysis. With its emphasis on data visualization, model assessment, and development of statistical intuition, this book provides guidance for any analyst looking to develop or improve skills in R for marketing applications.
Author: Mirza Rahim Baig Publisher: Packt Publishing Ltd ISBN: 1800563884 Category : Computers Languages : en Pages : 637
Book Description
Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.
Author: Yoon Hyup Hwang Publisher: Packt Publishing Ltd ISBN: 178934882X Category : Computers Languages : en Pages : 448
Book Description
Optimize your marketing strategies through analytics and machine learning Key FeaturesUnderstand how data science drives successful marketing campaignsUse machine learning for better customer engagement, retention, and product recommendationsExtract insights from your data to optimize marketing strategies and increase profitabilityBook Description Regardless of company size, the adoption of data science and machine learning for marketing has been rising in the industry. With this book, you will learn to implement data science techniques to understand the drivers behind the successes and failures of marketing campaigns. This book is a comprehensive guide to help you understand and predict customer behaviors and create more effectively targeted and personalized marketing strategies. This is a practical guide to performing simple-to-advanced tasks, to extract hidden insights from the data and use them to make smart business decisions. You will understand what drives sales and increases customer engagements for your products. You will learn to implement machine learning to forecast which customers are more likely to engage with the products and have high lifetime value. This book will also show you how to use machine learning techniques to understand different customer segments and recommend the right products for each customer. Apart from learning to gain insights into consumer behavior using exploratory analysis, you will also learn the concept of A/B testing and implement it using Python and R. By the end of this book, you will be experienced enough with various data science and machine learning techniques to run and manage successful marketing campaigns for your business. What you will learnLearn how to compute and visualize marketing KPIs in Python and RMaster what drives successful marketing campaigns with data scienceUse machine learning to predict customer engagement and lifetime valueMake product recommendations that customers are most likely to buyLearn how to use A/B testing for better marketing decision makingImplement machine learning to understand different customer segmentsWho this book is for If you are a marketing professional, data scientist, engineer, or a student keen to learn how to apply data science to marketing, this book is what you need! It will be beneficial to have some basic knowledge of either Python or R to work through the examples. This book will also be beneficial for beginners as it covers basic-to-advanced data science concepts and applications in marketing with real-life examples.
Author: Niladri Syam Publisher: Emerald Group Publishing ISBN: 1800438826 Category : Business & Economics Languages : en Pages : 177
Book Description
Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.
Author: Marc J. Kuchner
Author: Hamid Ghanadan
Author: Hamid Ghanadan
Author: Terry Grapentine
Author: Philip Hans Franses
Author: Jon DiPietro
Author: Chris Chapman
Author: Mirza Rahim Baig
Author: Yoon Hyup Hwang
Author: Niladri Syam