Angebote zu "Analytics" (128 Treffer)

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Evertz Analysiere d Web!
34,95 € *
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Erscheinungsdatum: 16.11.2017, Einband: Kartoniert, Titelzusatz: Wie Sie Marketing und Kommunikation mit Social Media Monitoring verbessern, Haufe Fachbuch 10244, Auflage: 1/2018, Autor: Evertz, Stefan, Verlag: Haufe Lexware GmbH & Co. KG, Co-Verlag: Vertrieb, Sprache: Deutsch, Schlagworte: Analyse // Analytics // Anbieter // Arbeitsfelder // Auswertung // Bereich // Community-Management // Community-Manager // Content // ebook // Engagement // Erfolgsmessung // Facebook // Inhalte // Kommentare // Kommunikation // Management // Marketing // Media // Mitarbeiter // Monitoring // Online-Kommunikation // Passende Arbeitsfelder // Reichweite // Relevant // Relevante // Relevante Szenarien // Social // Social Media Monitoring // Social-Media-Management // Strategie // Strategieentwicklung // Theoretische Reichweite // Tools // Trenderkennung // Twitter // Unternehmen // Web Analytics // Web Controlling // Web-Analyse // Website // Zielgruppe, Produktform: Kartoniert, Umfang: 263 S., Seiten: 263, Format: 1.3 x 24.2 x 17.1 cm, Gewicht: 639 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 08.08.2020
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Twitter Data Analytics
58,99 € *
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Twitter Data Analytics ab 58.99 € als Taschenbuch: Auflage 2014. Aus dem Bereich: Bücher, English, International, Gebundene Ausgaben,

Anbieter: hugendubel
Stand: 08.08.2020
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Twitter Data Analytics
58,99 € *
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Twitter Data Analytics ab 58.99 € als pdf eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,

Anbieter: hugendubel
Stand: 08.08.2020
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LaMetric Time, Digitaluhr mit WLAN, konfigurier...
193,89 € *
zzgl. 5,00 € Versand

Tauchen Sie mit dem LaMetric Time Smart-Home-Gerät in die Zukunft ein. Einmal konfiguriert informiert Sie LaMetric Time über alle wichtigen Benachrichtigungen in Ihrem Umfeld. Seien es Nachrichten, E-Mails, Termine oder aktuelle Wetterdaten LaMetric Time wird Ihren persönlichen und beruflichen Alltag vereinfachen und auf eine neue Stufe heben. Unabhängiges Smart Home Gerät Veranschaulicht Pop-Ups ohne Smartphone-Kopplung 5 vorinstallierte Apps enthalten 2 integrierte Stereo-Lautsprecher Kompatibel mit Netatmo, Philips hue, Sonos, Wemo, Amazon Echo und IFTTT Für Privatbereich und Business-Anwendung konzipiert Bleiben Sie informiert Zuhause und auf Arbeit LaMetric Time fungiert als Zentrale für Kurzinformationen und wurde für Sie, Ihre Familie oder Ihr Team auf Arbeit entwickelt. Dabei wird nicht nur auf die vorinstallierten Applikationen wie Wecker, Wetterdienst, Internetradio, Stoppuhr und Timer zugegriffen, sondern auch eine individuelle Personalisierung über die kostenfreie LaMetric Time App ermöglicht. Einmal per Smartphone konfiguriert, ruft LaMetric Time selbständig die von Ihnen gewünschten Informationen ab und stellt sie genauso individuell dar. Die manuelle Bedienung gestaltet sich dabei mit nur 6 Tasten als einfach und intuitiv. Über die integrierte Audio-Buchse lassen sich auch Kopfhörer oder ganze Soundsysteme anbinden. LaMetric Time funktioniert ürbigens auch mit IFTTT. Kombinieren Sie andere Smart Home Produkte LaMetric Time lässt sich mit vielen anderen Produkten aus dem Smart Home Bereich kombinieren. Verbinden Sie beispielsweise Philips Hue-Produkte über das WLAN und lassen Sie das Licht in Ihrem Zuhause über die Zentrale Schnittstelle regeln. Auch Produkte von Netatmo, Wemo, Philips Hue und Sonos lassen sich so mit LaMetric Time steuern. Außerdem können Sie im Developer-Bereich von LaMetric Ihre eigene App innerhalb von 15 Minuten kreieren und so die angezeigten Kurzinformationen noch persönlicher gestalten. Optimales Business-Erlebnis Professionelle Anwendung findet LaMetric Time auch auf Arbeit. Stellen Sie Dashboards, Google Analytics Datensätze, Budgets, Instagram-, Twitter- und Facebook-Follower übersichtlich dar, damit Sie und Ihr Team noch produktiver Ihre gemeinsamen Projekte in Angriff nehmen können. LaMetric Time verfügt über eine eigene API-Schnittstelle und kann somit optimal integriert werden. Stellen Sie offene Tickets oder wichtige Meetings über den Google Calendar dar und bleiben Sie zusammen mit Ihrem Team motiviert.

Anbieter: Gravis
Stand: 08.08.2020
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Algorithms for Data Science
66,51 € *
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This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. This book has three parts: (a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter. (b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System. (c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials. This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners.

Anbieter: buecher
Stand: 08.08.2020
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Algorithms for Data Science
66,51 € *
ggf. zzgl. Versand

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. This book has three parts: (a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter. (b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System. (c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials. This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners.

Anbieter: buecher
Stand: 08.08.2020
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The Art of Social Selling: Finding and Engaging...
9,95 € *
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Social media platforms such as Facebook, Twitter, LinkedIn, and Pinterest are changing the way consumers make purchasing decisions...and tapping into these online communities has become a necessary part of any integrated sales strategy. Citing enlightening research and real-world examples, this smart, practical guide presents listeners with a detailed methodology for growing sales and expanding their customer base using social media. Listeners will learn how to: Use content and conversations to build online relationships that transition to sales Execute realistic sales strategies for each of the major social media platforms Spot social media trends that may influence future buying behaviors Sell online in B2B and B2C environments Turn social shares (likes, favorites, +1s) into social sales Set tangible goals Use online tools and analytics to track social influencers and identify relevant conversations as they are happening Complete with a chapter dedicated to capturing mobile sales - a segment poised to explode as the adoption of smartphones and tablets grows - The Art of Social Selling is essential reading for every sales professional. 1. Language: English. Narrator: Judy Hoctor. Audio sample: http://samples.audible.de/bk/gdan/001184/bk_gdan_001184_sample.mp3. Digital audiobook in aax.

Anbieter: Audible
Stand: 08.08.2020
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Netnography
35,23 € *
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Social media and Internet data offer rich opportunities and vexing challenges for sociocultural research. Explaining and extending prior approaches, Netnography: Redefined is an indispensable guide to the understanding and conduct of Internet ethnography. With this volume, netnography is upgraded, updated and renewed with the latest netnographic research from media anthropology, geography, education, library sciences, travel and tourism, linguistics, media and cultural studies, sociology, sexuality, addiction research, gaming studies, and nursing, and multiple examples from the worlds of Facebook, Twitter, LinkedIn, and other social media sites. Like its predecessor, Netnography: Redefined includes full, step-by-step procedural guidelines for the accurate and ethical conduct of netnography. Yet this edition adapts netnography to include big data and social media analytics, as well as further incorporating notions of network analysis. It deepens the practice of netnography through participative engagement, introspection, alternative representation, and a new humanist focus. Netnography: Redefined presents readers with up-to-date guidelines for the most fully realized and distinctive form of online ethnographic research yet developed.

Anbieter: buecher
Stand: 08.08.2020
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Netnography
35,23 € *
ggf. zzgl. Versand

Social media and Internet data offer rich opportunities and vexing challenges for sociocultural research. Explaining and extending prior approaches, Netnography: Redefined is an indispensable guide to the understanding and conduct of Internet ethnography. With this volume, netnography is upgraded, updated and renewed with the latest netnographic research from media anthropology, geography, education, library sciences, travel and tourism, linguistics, media and cultural studies, sociology, sexuality, addiction research, gaming studies, and nursing, and multiple examples from the worlds of Facebook, Twitter, LinkedIn, and other social media sites. Like its predecessor, Netnography: Redefined includes full, step-by-step procedural guidelines for the accurate and ethical conduct of netnography. Yet this edition adapts netnography to include big data and social media analytics, as well as further incorporating notions of network analysis. It deepens the practice of netnography through participative engagement, introspection, alternative representation, and a new humanist focus. Netnography: Redefined presents readers with up-to-date guidelines for the most fully realized and distinctive form of online ethnographic research yet developed.

Anbieter: buecher
Stand: 08.08.2020
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