Masterclass Certificate Data Studio: Transforming Data

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The Masterclass Certificate Data Studio: Transforming Data course is essential for professionals seeking to enhance their data analysis skills. This industry-demanded program equips learners with the ability to manipulate and visualize data effectively using Google Data Studio.

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By mastering the transformation of raw data into actionable insights, learners will improve decision-making and communication within their organizations. The course covers data connectors, report creation, visualization techniques, and dashboard design, ensuring that learners have a comprehensive understanding of Data Studio's capabilities. In today's data-driven world, professionals with strong data analysis skills are highly sought after. Completing this course will not only differentiate learners in the job market but also provide them with the skills necessary to excel in their careers and drive business success.

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โ€ข Introduction to Data Studio & Transforming Data: In this unit, students will learn the basics of Google Data Studio and how to transform data using various tools and functions.<br> โ€ข Data Cleaning: This unit will cover data cleaning techniques such as handling missing values, removing duplicates, and standardizing data.<br> โ€ข Data Aggregation & Segmentation: Students will learn how to aggregate and segment data using Data Studio's built-in functions, allowing them to gain deeper insights into their data.<br> โ€ข Data Visualization: This unit will focus on data visualization best practices and how to create effective charts and graphs using Data Studio.<br> โ€ข Data Blending: Students will learn how to combine data from multiple sources using Data Studio's data blending feature.<br> โ€ข Data Transformation with Calculated Fields: This unit will cover how to create calculated fields in Data Studio to transform data and create new metrics.<br> โ€ข Data Transformation with Filters: Students will learn how to use filters in Data Studio to transform data and focus on specific data subsets.<br> โ€ข Advanced Data Transformation Techniques: This unit will cover advanced data transformation techniques such as using regular expressions and JavaScript UDFs.<br> โ€ข Data Studio Best Practices: In this final unit, students will learn best practices for using Data Studio in a professional setting, including how to create and share reports.

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In this data visualization, we present the top roles in the data science and analytics field within the UK, including their respective market shares. The 3D pie chart allows for a more engaging representation of the data, making it easier to understand job market trends and skill demand. The primary keyword "Data Science & Analytics" is prevalent throughout the content, along with the roles highlighted in the chart. The chart features a transparent background with no added background color, ensuring a clean and modern design. The responsive layout allows the chart to adapt to various screen sizes, with a width of 100% and a height of 400px. The Google Charts library is loaded correctly, and the script tag is placed appropriately within the HTML content. The JavaScript code defines the chart data, options, and rendering logic, using the google.visualization.arrayToDataTable method and setting the is3D option to true. The chart is rendered using the PieChart class, which creates an interactive and visually appealing chart. The chart's colors are customized to provide a clear differentiation between each role.

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MASTERCLASS CERTIFICATE DATA STUDIO: TRANSFORMING DATA
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
ๅŒบๅ—้“พID๏ผš s-1-a-2-m-3-p-4-l-5-e
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