Data Visualisation course - Early bird discount ends this Sunday

Find out more about Andy Kirk //info.sagepub.co.uk/c/17ypO28JEPdt8V03vWt2O7gDUxw View as webpage](   |    Email alerts]( Share: [Share on Twitter]( [Share on Facebook]( [Share on LinkedIn]( [SAGE Campus]( Early bird discount ends this Sunday Dear {NAME}, Sign up for the online course [Introduction to Data Visualisation]( before October 7th and you can save 25%! Enter promo code EARLYBIRD25 at the checkout. This online course starts October 29th, and you’ll learn how to transform your data into powerful visualisations and infographics. By the end of this course you will be able to: - Harness color, composition, interactivity, and annotation to tell your data story - Tailor your visualisations to your audience’s needs - Determine what is the most relevant and interesting content to portray [Sign up today]( We asked course instructor Andy Kirk a couple of questions about his field... [icon] What one piece of advice would you give those seeking to understand how effective visualisation is created? [icon]# Andy Kirk # [Enroll on the course today]( Open your eyes as a reader. When you are working to make sense of a visualisation or infographic, look beyond the surface and see the decisions the creators has made: the chart types used, the colour choices, the layout etc. Consider how you respond to these choices - do they aid or impede the communication? - and you will start to develop the eye to judge these things for yourself in your own work. In this so-called “post-truth” era what role can data visualisation play? This is a burning issue in the field. The fundamental principle of Data visualisation, in my mind is a) to be truthful and b) to be trustworthy. So what undermines these things? Bad quality data, incomplete data, incorrect statistical models, misunderstandings about probabilities and uncertainties, lack of clarity about the provenance of data and the processes it goes through before presenting, snapshot analysis that misses context, nuance and hidden assumptions, corrupt visual design techniques that distort and deceive. These are all practices we as an industry/field need to stop, call out and rally against. [SAGE Research Methods]( [SAGE Knowledge]( [CampusEmailBanner]( [little quick fix]( --------------------------------------------------------------- SAGE logo]( ABOUT US]( | CONTACT US]( | PRIVACY POLICY]( | [UNSUBSCRIBE]( SAGE Offices: Los Angeles: 2455 Teller Rd Thousand Oaks, CA 91320, USA London: 1 Oliver's Yard, 55 City Road, London, EC1Y 1SP, UK. Registration No. 1017514 New Delhi: B-1/I-1, Mohan Cooperative Industrial Estate, Mathura Road, Post Bag 7, New Delhi 110 044, India Singapore: 3 Church Street #10-04, Samsung Hub, Singapore 049483 Washington, DC: 2600 Virginia Avenue NW, Suite 600, Washington, DC, 20037, USA //info.sagepub.co.uk/c/17ypRizsMhCs4gunlWKWovwkGwY This message was sent to {EMAIL}. 8P0113