Marketing For Scientists

Author : Marc J. Kuchner
Publisher : Island Press
ISBN 13 : 1610911733
Total Pages : 248 pages
Book Rating : 4.33/5 ( download)

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Download or read book Marketing for Scientists written by Marc J. Kuchner and published by Island Press. This book was released on 2012-06-22 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Hamid Ghanadan
Publisher : Rockbench Publishing
ISBN 13 : 9781605440125
Total Pages : 140 pages
Book Rating : 4.24/5 ( download)

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Download or read book Persuading Scientists written by Hamid Ghanadan and published by Rockbench Publishing. This book was released on 2012 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Hamid Ghanadan
Publisher :
ISBN 13 : 9780997523706
Total Pages : pages
Book Rating : 4.00/5 ( download)

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Download or read book Catalytic Experiences written by Hamid Ghanadan and published by . This book was released on 2016-05-25 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Philip Hans Franses
Publisher : Cambridge University Press
ISBN 13 : 1139428845
Total Pages : 222 pages
Book Rating : 4.42/5 ( download)

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Download or read book Quantitative Models in Marketing Research written by Philip Hans Franses and published by Cambridge University Press. This book was released on 2001-08-09 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Chris Chapman
Publisher : Springer
ISBN 13 : 3319144367
Total Pages : 459 pages
Book Rating : 4.68/5 ( download)

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Download or read book R for Marketing Research and Analytics written by Chris Chapman and published by Springer. This book was released on 2015-03-09 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 1800563884
Total Pages : 637 pages
Book Rating : 4.89/5 ( download)

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Download or read book Data Science for Marketing Analytics written by Mirza Rahim Baig and published by Packt Publishing Ltd. This book was released on 2021-09-07 with total page 637 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 178934882X
Total Pages : 448 pages
Book Rating : 4.28/5 ( download)

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Download or read book Hands-On Data Science for Marketing written by Yoon Hyup Hwang and published by Packt Publishing Ltd. This book was released on 2019-03-29 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 13 : 1800438826
Total Pages : 177 pages
Book Rating : 4.28/5 ( download)

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Download or read book Machine Learning and Artificial Intelligence in Marketing and Sales written by Niladri Syam and published by Emerald Group Publishing. This book was released on 2021-03-10 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 : Jason S. Schwarz
Publisher : Springer Nature
ISBN 13 : 3030497208
Total Pages : 272 pages
Book Rating : 4.00/5 ( download)

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Download or read book Python for Marketing Research and Analytics written by Jason S. Schwarz and published by Springer Nature. This book was released on 2020-11-03 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to quantitative marketing with Python. The book presents a hands-on approach to using Python for real marketing questions, organized by key topic areas. Following the Python scientific computing movement toward reproducible research, the book presents all analyses in Colab notebooks, which integrate code, figures, tables, and annotation in a single file. The code notebooks for each chapter may be copied, adapted, and reused in one's own analyses. The book also introduces the usage of machine learning predictive models using the Python sklearn package in the context of marketing research. This book is designed for three groups of readers: experienced marketing researchers who wish to learn to program in Python, coming from tools and languages such as R, SAS, or SPSS; analysts or students who already program in Python and wish to learn about marketing applications; and undergraduate or graduate marketing students with little or no programming background. It presumes only an introductory level of familiarity with formal statistics and contains a minimum of mathematics.

Author : Greg Creed
Publisher : HarperCollins Leadership
ISBN 13 : 140022330X
Total Pages : 289 pages
Book Rating : 4.05/5 ( download)

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Download or read book R.E.D. Marketing written by Greg Creed and published by HarperCollins Leadership. This book was released on 2021-06-08 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create breakthrough marketing campaigns by harnessing the power of R.E.D. Marketing: a transparent and flexible methodology straight from marketing powerhouse Yum! Brands. Sidestep the marketing books, courses, and even TED talks that offer hypothetical explanations that sound sensible and embrace the proven, systematic approach of R.E.D. Marketing, which the recent CEO and current CMO of Yum! Brands applied to lead Taco Bell and KFC to double digit growth. This book, filled with simple frameworks and engaging stories, will help everyone in your company understand what really works for driving sustainable brand growth and business success. In 2011, Greg Creed had just been elevated from President to CEO of Taco Bell, a brand in deep distress at the time. It was on his shoulders to turn things around quickly along with co-author and CMO, Ken Muench. Together, they developed the R.E.D (Relevance, Ease, Distinctiveness) method. It’s simple methodology does not require complicated terms and a PhD to understand, it’s actually quite simple—marketing works in three very different ways: Relevance—Is it relevant to the marketplace? Ease—Is it easy to access and use? Distinction—Does it stand out from competition? By combining actual examples from Yum! and other recognizable brands of every size around the world with the latest findings in marketing, neuroscience, and behavioral economics, and the author’s own experience marketing three different brands across 120 countries, your brand can set and achieve a truly breakthrough marketing campaign utilizing R.E.D Marketing.