Professional Certificate in Navigating UK Ethical Landscapes

In the UK, data roles are on the rise with organizations increasingly relying on data-driven decision making. Our new Professional Certificate in Navigating UK Ethical Landscapes focuses on key data roles that are in high demand. * A **Data Analyst** is responsible for processing and interpreting complex data sets. With a £25K - £40K salary range, this role requires skills in data cleaning, SQL, and statistical analysis. * **Data Scientists** develop predictive models and algorithms to solve complex problems. They earn between £35K - £70K and should be proficient in machine learning, Python, and data visualization. * **Data Engineers** design and build data systems. They earn between £35K - £80K and require skills in distributed computing, ETL processes, and data warehousing. * **Data Visualization Specialists** communicate insights using appealing and interactive visualizations. They earn between £25K - £50K and should be skilled in data storytelling, design, and popular visualization tools. * **Business Intelligence Developers** create and maintain data reports. They earn between £25K - £60K and need skills in data modeling, SQL, and BI tools. The code above displays a 3D pie chart with Google Charts that represents the job market trends for data roles in the UK. The chart has a transparent background and is responsive, adapting to all screen sizes. The chart displays data for five key data roles, including Data Analyst, Data Scientist, Data Engineer, Data Visualization Specialist, and Business Intelligence Developer. Each slice of the pie chart displays the percentage of demand for each role, relative to the total demand for all roles. The chart also includes a legend at the bottom to indicate the name of each role. The chart data is defined using the `google.visualization.arrayToDataTable` method, which takes an array of arrays. The first row of the array contains the column headers, while the remaining rows contain the actual data. The `is3D` option is set to `true` to create a 3D pie chart. The chart options are defined in the `options` variable. The `title` option sets the title of the chart, while the `backgroundColor` option sets the background color to transparent. The `is3D` option is set to `true` to create a 3D pie chart. The `pieSliceText` option sets the text to display inside each slice, which is set to `value` to show the percentage. The `sliceVisibilityThreshold` option is set to `0` to display all slices. The `legend` option is set to `{ position: 'bottom' }` to display the legend at