Marketing for Scientists

Marketing for Scientists

Author: Marc J. Kuchner

Publisher: Island Press

Published: 2012-06-22

Total Pages: 248

ISBN-13: 1610911733

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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.


Book Synopsis Marketing for Scientists by : Marc J. Kuchner

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.

Persuading Scientists

Persuading Scientists

Author: Hamid Ghanadan

Publisher: Rockbench Publishing

Published: 2012

Total Pages: 140

ISBN-13: 9781605440125

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Book Synopsis Persuading Scientists by : Hamid Ghanadan

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:

Marketing for Engineers, Scientists and Technologists

Marketing for Engineers, Scientists and Technologists

Author: Tony Curtis

Publisher: Wiley

Published: 2008-05-05

Total Pages: 0

ISBN-13: 9780470057094

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MARKETING FOR ENGINEERS, SCIENTISTS AND TECHNOLOGISTS Dr Tony Curtis covers everything that engineers need to know about marketing and project management. The book has been written in an easy to read style with clear learning outcomes and objectives. In my opinion this should be mandatory reading for all engineers who are involved in the design and marketing of products and services. Dr Naren Gupta, Senior Lecturer and Teaching Fellow, Director of Quality, School of Engineering and the Built Environment, Napier University In working with a range of professionals across many industry sectors one often finds it is the technologists and scientists that gain the most out of acquiring skills and knowledge in marketing. Not only does their structured and analytical approach lend itself to strategic marketing but those skills, combined with a clear customer focus and an innovative approach to the market, can give them the portfolio of skills required for successful leadership. Deirdre Makepeace, Senior Examiner, CIM To succeed, products and services must satisfy customers’ needs and wants. Engineers, scientists and technologists need to understand these needs to develop and deliver better products. This book covers consumer products, services, international and business to business marketing, as well as current issues such as green and social marketing and the service extended marketing mix. Tony Curtis also discusses the core management skills needed to implement marketing plans, such as leadership, negotiation and consultancy. Finally, he brings all these elements together into three key areas; new product development, market driven quality and marketing plans. Written by a technologist for technologists, this book is essential reading for engineers and scientists taking a module in business studies or marketing at all levels. It also provides a good foundation in marketing strategy for MBA students with a technical or scientific first degree. Supporting material for lecturers is available at www.wileyeurope.com/college/curtis


Book Synopsis Marketing for Engineers, Scientists and Technologists by : Tony Curtis

Download or read book Marketing for Engineers, Scientists and Technologists written by Tony Curtis and published by Wiley. This book was released on 2008-05-05 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: MARKETING FOR ENGINEERS, SCIENTISTS AND TECHNOLOGISTS Dr Tony Curtis covers everything that engineers need to know about marketing and project management. The book has been written in an easy to read style with clear learning outcomes and objectives. In my opinion this should be mandatory reading for all engineers who are involved in the design and marketing of products and services. Dr Naren Gupta, Senior Lecturer and Teaching Fellow, Director of Quality, School of Engineering and the Built Environment, Napier University In working with a range of professionals across many industry sectors one often finds it is the technologists and scientists that gain the most out of acquiring skills and knowledge in marketing. Not only does their structured and analytical approach lend itself to strategic marketing but those skills, combined with a clear customer focus and an innovative approach to the market, can give them the portfolio of skills required for successful leadership. Deirdre Makepeace, Senior Examiner, CIM To succeed, products and services must satisfy customers’ needs and wants. Engineers, scientists and technologists need to understand these needs to develop and deliver better products. This book covers consumer products, services, international and business to business marketing, as well as current issues such as green and social marketing and the service extended marketing mix. Tony Curtis also discusses the core management skills needed to implement marketing plans, such as leadership, negotiation and consultancy. Finally, he brings all these elements together into three key areas; new product development, market driven quality and marketing plans. Written by a technologist for technologists, this book is essential reading for engineers and scientists taking a module in business studies or marketing at all levels. It also provides a good foundation in marketing strategy for MBA students with a technical or scientific first degree. Supporting material for lecturers is available at www.wileyeurope.com/college/curtis

Catalytic Experiences

Catalytic Experiences

Author: Hamid Ghanadan

Publisher:

Published: 2016-05-25

Total Pages:

ISBN-13: 9780997523706

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Book Synopsis Catalytic Experiences by : Hamid Ghanadan

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:

Social Media for Engineers and Scientists

Social Media for Engineers and Scientists

Author: Jon DiPietro

Publisher: Momentum Press

Published: 2011-11-18

Total Pages: 228

ISBN-13: 1606502530

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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.


Book Synopsis Social Media for Engineers and Scientists by : Jon DiPietro

Download or read book Social Media for Engineers and Scientists written by Jon DiPietro and published by Momentum Press. This book was released on 2011-11-18 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Science for Marketing Analytics

Data Science for Marketing Analytics

Author: Mirza Rahim Baig

Publisher: Packt Publishing Ltd

Published: 2021-09-07

Total Pages: 637

ISBN-13: 1800563884

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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.


Book Synopsis Data Science for Marketing Analytics by : Mirza Rahim Baig

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.

Machine Learning and Artificial Intelligence in Marketing and Sales

Machine Learning and Artificial Intelligence in Marketing and Sales

Author: Niladri Syam

Publisher: Emerald Group Publishing

Published: 2021-03-10

Total Pages: 177

ISBN-13: 1800438826

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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.


Book Synopsis Machine Learning and Artificial Intelligence in Marketing and Sales by : Niladri Syam

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.

Hands-On Data Science for Marketing

Hands-On Data Science for Marketing

Author: Yoon Hyup Hwang

Publisher: Packt Publishing Ltd

Published: 2019-03-29

Total Pages: 448

ISBN-13: 178934882X

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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.


Book Synopsis Hands-On Data Science for Marketing by : Yoon Hyup Hwang

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.

Python for Marketing Research and Analytics

Python for Marketing Research and Analytics

Author: Jason S. Schwarz

Publisher: Springer Nature

Published: 2020-11-03

Total Pages: 272

ISBN-13: 3030497208

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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.


Book Synopsis Python for Marketing Research and Analytics by : Jason S. Schwarz

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.

R.E.D. Marketing

R.E.D. Marketing

Author: Greg Creed

Publisher: HarperCollins Leadership

Published: 2021-06-08

Total Pages: 289

ISBN-13: 140022330X

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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.


Book Synopsis R.E.D. Marketing by : Greg Creed

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.