Global Certificate in Data Art & Cloud: Creative Solutions

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The Global Certificate in Data Art & Cloud: Creative Solutions is a comprehensive course designed to meet the growing industry demand for data art and cloud specialists. This certificate program emphasizes the fusion of data analysis, visualization, and cloud computing skills, empowering learners to deliver innovative, data-driven solutions in today's technology-centric world.

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By combining artistic creativity with technical prowess, graduates will be poised to advance their careers in various industries, including marketing, advertising, and IT. The course curriculum covers essential topics such as data visualization, interactive design, and cloud technologies, equipping learners with in-demand skills to excel in their chosen professions. In addition to mastering industry-relevant tools and techniques, learners will also develop their critical thinking, problem-solving, and communication abilities. These soft skills, coupled with their newfound technical expertise in data art and cloud solutions, will make them highly attractive candidates in the job market and set them on a path towards professional success.

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้šๆ—ถ้šๅœฐๅญฆไน 

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ๆทปๅŠ ๅˆฐๆ‚จ็š„LinkedInไธชไบบ่ต„ๆ–™

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ๆ— ็ญ‰ๅพ…ๆœŸ

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โ€ข Unit 1: Data Art Fundamentals
โ€ข Unit 2: Cloud Computing Basics
โ€ข Unit 3: Data Visualization Techniques
โ€ข Unit 4: Data Analysis for Data Art
โ€ข Unit 5: Cloud Storage and Retrieval
โ€ข Unit 6: Interactive Data Art Creation
โ€ข Unit 7: Data Security in the Cloud
โ€ข Unit 8: Scalable Data Art Solutions
โ€ข Unit 9: Creative Cloud-based Projects
โ€ข Unit 10: Best Practices for Data Art in the Cloud

่Œไธš้“่ทฏ

```vbnet The
element above contains the 3D pie chart that shows the job market trends for data-related roles in the UK, with a focus on Data Art and Cloud solutions. The chart features the following roles: Data Artist, Cloud Solutions Architect, Data Engineer, Data Analyst, and Data Scientist. Each role's demand is represented as a percentage of the total job market, and the chart's transparent background emphasizes the data. The Google Charts library is loaded using the script tag . After the library is loaded, the JavaScript function drawChart() is called to define the chart data, options, and rendering logic. The chart data is defined using the google.visualization.arrayToDataTable method, which takes an array of arrays as input. The first array contains the column headers, and the subsequent arrays contain the data. The is3D option is set to true to enable the 3D effect. The options object defines the visual properties of the chart, such as the title, background color, pie slice visibility threshold, pie slice text, chart area, and legend position. The chart area is defined to occupy most of the
element while leaving some space for the legend. The pie chart is rendered using the new google.visualization.PieChart(document.getElementById('chart_div')) method. The chart is then drawn by calling chart.draw(data, options). In summary, the
element above displays a 3D pie chart that visualizes the job market trends for data-related roles in the UK, emphasizing the demand for Data Art and Cloud solutions. ```

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็คบไพ‹่ฏไนฆ่ƒŒๆ™ฏ
GLOBAL CERTIFICATE IN DATA ART & CLOUD: CREATIVE SOLUTIONS
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
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05 May 2025
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