#ModernMarketing #DataVisualization #MarketingStrategies

Marketing has evolved with new technologies which are a mixture of new science and art. Art helps you to extract the content which is creative and science is where you get to know the facts and figures, what worked and what need to be upgraded. Modern marketing does not follow the old approach, now there are multiple data points to back up data which includes many performances of the applications, data of the customer, figures of the sales, and website analytics. Data visualization showcases data which is of visual format.

My Google Data Studio Course requires a few hours weekly for a few weeks for marketers to learn to use this amazing Google data visualization tool.
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#DataJournalism #BigData #OpenData #DataVisualization #Algorithms: "What is data journalism? What is it for? What might it do? What opportunities and limitations does it present? Who and what is involved in making and making sense of it? This book is a collaborative experiment responding to these and other questions. It follows on from another edited book, The Data Journalism Handbook: How Journalists Can Use Data to Improve the News (O’Reilly Media, 2012).1 Both books assemble a plurality of voices and perspectives to account for the evolving field of data journalism. The first edition started through a “book sprint” at MozFest in London in 2011, which brought together journalists, technologists, advocacy groups and others in order to write about how data journalism is done. As we wrote in the introduction, it aimed to “document the passion and enthusiasm, the vision and energy of a nascent movement”, to provide “stories behind the stories” and to let “different voices and views shine through”. The 2012 edition is now translated into over a dozen languages – including Arabic, Chinese, Czech, French, Georgian, Greek, Italian, Macedonian, Portuguese, Russian, Spanish and Ukrainian – and is used for teaching at many leading universities, as well as teaching and training centres around the world, as well as being a well-cited source for researchers studying the field.

While the 2012 book is still widely used (and this book is intended to complement rather than to replace it), a great deal has happened since 2012. On the one hand, data journalism has become more established. In 2011 data journalism as such was very much a field “in the making”, with only a handful of people using the term. It has subsequently become socialised and institutionalised through dedicated organisations, training courses, job posts, professional teams, awards, anthologies, journal articles, reports, tools, online communities, hashtags, conferences, networks, meetups, mailing lists and more. There is also broader awareness of the term through events which are conspicuously data-related, such as the Panama Papers, which whistleblower Edward Snowden then characterised as the “biggest leak in the history of data journalism”."

Visualizing Complex #DataSets; The Art Of Storytelling https://goo.gl/4hu6vV #Datavisualization #Dataviz #Datavis #Analytics #infographics #Data #Marketing #PredictiveAnalytics

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analytically complex problems. At the core is data. Troves of raw information, streaming in and stored in enterprise data warehouses. Much to learn by mining it.

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This Thursday, December 13th at 11 AM EST, join our webinar: #Data #Storytelling 101 and learn the 4 questions to ask your user to create a compelling data story. https://bit.ly/2BQQ4TI #SAPAnalytics #datavisualization

In this tutorial, we will learn about data science in an easiest and versatile way. At the end of the course we will be able to uncover what is the meaning of data analysis, information and tools involved, data analysis models, what are the different business model instruments.
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