Masterclass Certificate Advanced Visual Analytics
-- ViewingNowThe Masterclass Certificate in Advanced Visual Analytics is a comprehensive course that equips learners with essential skills for career advancement in the data analysis field. With the increasing industry demand for professionals who can interpret complex data sets, this course is more relevant than ever.
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It covers a wide range of topics including data visualization, statistical analysis, and machine learning algorithms.
By the end of this course, learners will have a deep understanding of how to use advanced visual analytics techniques to extract valuable insights from large and complex datasets. They will also gain hands-on experience with industry-leading tools such as Tableau and PowerBI.
This course is designed for data analysts, business intelligence professionals, and anyone looking to advance their career in the field of data analysis. By completing this course, learners will have a competitive edge in the job market and be well-prepared to take on more challenging data analysis roles.
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โข Advanced Data Visualization Techniques
โข Data Storytelling and Design Principles
โข Exploratory Data Analysis with Visual Analytics
โข Machine Learning and Predictive Modeling in Visual Analytics
โข Interactive Visualization and Dashboard Design
โข Big Data Visualization: Technologies and Techniques
โข Real-time Data Analytics and Visualization
โข Evaluation of Visualization Tools and Platforms
โข Security, Ethics, and Privacy in Visual Analytics
โข Advanced Visual Analytics Capstone Project
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Google Charts 3D Pie Chart: Visualizing Advanced Visual Analytics Job Market Trends in the UK
In the ever-evolving landscape of data analytics, understanding job market trends is crucial for professionals looking to upskill or transition into the field. In this Google Charts 3D Pie Chart, we present a visual representation of the most in-demand roles within advanced visual analytics in the United Kingdom.
By exploring this 3D chart, you'll discover the percentage of job openings for various positions, such as Data Scientist, Data Analyst, Data Engineer, BI Analyst, Data Visualization Specialist, Machine Learning Engineer, and Big Data Architect.
Furthermore, this interactive visualization is designed with responsiveness in mind, adapting to all screen sizes and providing optimal viewing on mobile, tablet, and desktop devices. The chart's width is set to 100%, while its height is fixed at 400px, ensuring a consistent aspect ratio while maintaining readability on smaller displays.
To create a 3D Pie Chart using Google Charts, we first load the library and set the 'corechart' package. Once the chart is loaded, we initialize the data array containing the roles and their corresponding percentage values. To achieve the 3D effect, set the 'is3D' option to true within the chart options.
To ensure a transparent background and optimal readability, we set the 'backgroundColor' option to 'transparent', and we customize the chart's appearance with the 'pieHole', 'chartArea', and 'legend' options. The 'sliceVisibilityThreshold' option is set to 0 to display all slice values, regardless of their size.
Lastly, we create a new PieChart instance and draw the chart using the provided data and options, rendering it within the predefined element with the ID 'chart_div'. This results in an engaging and interactive visualization that enhances the user experience and encourages further exploration of the advanced visual analytics job market trends in the UK.
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MASTERCLASS CERTIFICATE ADVANCED VISUAL ANALYTICS
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London School of International Business (LSIB)
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05 May 2025
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