Masterclass Certificate in Google Sheets: Data-Driven Decisions Mastery

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The Masterclass Certificate in Google Sheets: Data-Driven Decisions Mastery is a comprehensive course that empowers learners with essential data analysis skills using Google Sheets. In today's data-driven world, the ability to interpret and leverage data is crucial for career advancement.

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This course focuses on hands-on training, enabling learners to manage, analyze, and visualize data effectively. It covers advanced Google Sheets functions, data modeling, pivot tables, and data visualization techniques. By the end of the course, learners will be able to make data-driven decisions, solving real-world business problems. With the increasing industry demand for data literacy, this course is ideal for professionals seeking to upskill or reskill. It is beneficial for aspiring data analysts, business analysts, marketers, and decision-makers. By mastering Google Sheets, learners enhance their productivity, boost their resume, and open up new career opportunities.

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โ€ข  Unit 1: Google Sheets Basics
โ€ข  Unit 2: Data Cleaning and Preparation
โ€ข  Unit 3: Data Analysis with Functions and Formulas
โ€ข  Unit 4: Visualizing Data with Charts and Graphs
โ€ข  Unit 5: Pivot Tables and Data Summarization
โ€ข  Unit 6: Data Connectors and Integrations
โ€ข  Unit 7: Automating Workflows with Google Sheets
โ€ข  Unit 8: Data-Driven Decision Making with Google Sheets
โ€ข  Unit 9: Best Practices for Collaboration and Version Control
โ€ข  Unit 10: Advanced Techniques for Data Modeling and Analysis

่Œไธš้“่ทฏ

The **Masterclass Certificate in Google Sheets: Data-Driven Decisions Mastery** empowers professionals to utilize data for informed decision-making. As the UK job market evolves, certain roles gain prominence, driven by the ever-increasing demand for data-centric skills. With this 3D Pie chart, we'll explore some of the most in-demand data roles in the UK, covering job market trends, salary ranges, and skill demand. The chart below displays the top five UK data roles as a percentage of total demand: 1. **Data Scientist**: With a 20% share, data scientists are highly sought after for their ability to analyze complex data and deliver actionable insights. 2. **Data Analyst**: Demand for data analysts stands at 25%, reflecting the need for professionals who can translate raw data into meaningful information. 3. **Data Engineer**: Data engineers, accounting for 15% of demand, facilitate data management and streamline its accessibility for analysis. 4. **Business Intelligence**: Representing 20% of demand, professionals in this field bridge the gap between data insights and strategic business decision-making. 5. **Machine Learning Engineer**: With a 20% share, machine learning engineers are essential for developing and implementing intelligent systems that learn and adapt from data. The 3D Pie chart above is both engaging and responsive, offering an intuitive visual representation of the data landscape. With a transparent background and no added background color, the primary focus remains on the chart's information-rich content, which adapts seamlessly to all screen sizes.

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MASTERCLASS CERTIFICATE IN GOOGLE SHEETS: DATA-DRIVEN DECISIONS MASTERY
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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