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2 events found
Organiser: Daniel Schnitzlein, Leibniz...
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Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics
18 December 2024
Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://instats.org/seminar/principles-of-data-visualization3?utm_source=dresa https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all [] -
Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics
29 - 31 January 2025
Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://instats.org/seminar/foundations-of-questionnaire-design2?utm_source=dresa https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
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Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics
18 December 2024
Principles of Data Visualization with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://instats.org/seminar/principles-of-data-visualization3?utm_source=dresa https://dresa.org.au/events/principles-of-data-visualization-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This seminar provides an essential introduction to the principles of data visualization for academic researchers and professionals. It focuses on understanding how to effectively communicate quantitative information through visual means, with an emphasis on audience-centric design. Attendees will learn how to select appropriate chart types, declutter visualizations, and enhance clarity, all without relying on a specific software tool. This course is designed to improve data storytelling and ensure that visual presentations of data are both accurate and compelling. 2024-12-18 17:00:00 UTC 2024-12-18 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all [] -
Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics
29 - 31 January 2025
Foundations of Questionnaire Design with Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics https://instats.org/seminar/foundations-of-questionnaire-design2?utm_source=dresa https://dresa.org.au/events/foundations-of-questionnaire-design-with-daniel-schnitzlein-leibniz-universitat-hannover-innside-statistics This comprehensive workshop is designed to equip researchers in the social and health sciences with essential techniques and best practices for crafting effective surveys. The workshop is targeted to researchers without prior knowledge of questionnaire design. Participants will learn how to create clear, unbiased, and reliable survey instruments that serve as the foundation for successful research. 2025-01-29 17:00:00 UTC 2025-01-31 23:00:00 UTC Daniel Schnitzlein, Leibniz Universität Hannover; Innside Statistics Instats info@instats.org [] [] [] open_to_all []
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