<thead id="fflbj"><font id="fflbj"><cite id="fflbj"></cite></font></thead>
    <progress id="fflbj"><thead id="fflbj"><font id="fflbj"></font></thead></progress>

            課程目錄:Visual Analytics – Data science培訓
            4401 人關注
            (78637/99817)
            課程大綱:

                     Visual Analytics – Data science培訓

             

             

             

            Introduction to Visual Analytics
            5 Principles of Data Visualisation
            Tables vs charts
            What makes visualisations effective
            Gestalt Principles of Visual Perception
            Types of charts and how to choose the right one
            Common types of charts
            Choosing the right chart for your data
            Understanding your audience
            Handling missing data
            Advanced charts
            Sankey
            Radar
            Treemap
            Heatmap
            Boxplot, violin plot
            Choosing the right chart for your data
            Choosing the right chart for your audience
            Eliminating clutter from charts
            Storytelling with data
            The importance of storytelling
            Building a narrative structure
            Drawing attention
            Including call to action
            Creating dashboards and infographics
            Exploratory vs explanatory analysis
            How to convey your message
            Live presentation vs report
            Visualisations that are simple, informative and engaging
            The characteristics of a good dashboard
            The characteristics of a good infographic
            Common mistakes and misleading charts
            Charts that should be avoided
            How we are being deceived by colour, scale and size
            Visual analytics case studies

            538在线视频二三区视视频