Global Certificate Visual Analytics with Google Sheets

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The Global Certificate in Visual Analytics with Google Sheets is a comprehensive course that empowers learners with the skills to present and interpret complex data sets visually. This certification is crucial in today's data-driven world, where the ability to analyze and communicate data insights effectively is in high demand.

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Google Sheets, a widely used tool in businesses worldwide, is the focus of this course. Learners will gain expertise in using this platform to manipulate and visualize data, making them highly attractive to potential employers. The course covers a range of topics, from basic data analysis to advanced visualization techniques, ensuring that learners have a well-rounded skill set. Upon completion, learners will be equipped with the essential skills needed for career advancement in various industries, including business, finance, marketing, and technology. This certification is a testament to a learner's commitment to continuous learning and their ability to leverage data for strategic decision-making.

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โ€ข Data Visualization with Google Sheets
โ€ข Introduction to Visual Analytics
โ€ข Google Sheets Formulas and Functions
โ€ข Creating Charts and Graphs in Google Sheets
โ€ข Data Cleaning and Preparation in Google Sheets
โ€ข Data Storytelling with Google Sheets
โ€ข Dashboard Creation in Google Sheets
โ€ข Data Analysis Techniques in Visual Analytics
โ€ข Interpreting Visual Analytics Results
โ€ข Best Practices in Visual Analytics

่Œไธš้“่ทฏ

The Global Certificate in Visual Analytics is designed to equip professionals with the skills needed to excel in today's data-driven world. This section highlights relevant statistics for the UK job market, showcasing the demand and salary ranges for various roles. Data Scientist: With a 25% share, data scientists are in high demand due to their expertise in extracting insights from large datasets. The average salary ranges from ยฃ40,000 to ยฃ80,000, depending on experience and industry. Data Analyst: Data analysts hold 20% of the market share. Their role involves interpreting data and creating actionable insights for businesses. The average salary ranges between ยฃ30,000 and ยฃ55,000. Data Engineer: Data engineers are responsible for building and maintaining data architectures, making up 15% of the market. The average salary ranges between ยฃ40,000 and ยฃ80,000. Business Intelligence Developer: These professionals develop, design and maintain business intelligence solutions to support data analysis and decision-making. They make up 10% of the market, with an average salary between ยฃ35,000 and ยฃ60,000. Machine Learning Engineer: With 10% of the market share, machine learning engineers design and build machine learning systems to automate decision-making processes. The average salary ranges from ยฃ50,000 to ยฃ90,000. Statistician: Statisticians typically work with data sampling, data analysis, and modeling. They hold 10% of the market, with an average salary between ยฃ35,000 and ยฃ70,000. Data Visualization Specialist: These professionals focus on presenting data visually, making up 10% of the market. The average salary ranges between ยฃ35,000 and ยฃ65,000.

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GLOBAL CERTIFICATE VISUAL ANALYTICS WITH GOOGLE SHEETS
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London School of International Business (LSIB)
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