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⏱ 2h 42m📚 27 lessons
Google Sheets for Data Analysis: A Beginner's Practical Guide
Equip yourself with fundamental data analysis skills using Google Sheets to transform raw data into valuable business intelligence and jumpstart your career.
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About this course
In today's data-driven world, the ability to analyze information is a crucial skill across business, IT, and finance roles. Google Sheets offers an accessible yet powerful platform to master these essential data analysis techniques.
This course will guide you from foundational concepts to practical application, enabling you to confidently clean, analyze, and visualize data. You'll develop a strong understanding of data analysis workflows and gain the skills to build a portfolio of practical projects, preparing you for entry-level data roles.
What you'll learn:
* Learn foundational data concepts and the role of data analysis in various industries
* Master essential Google Sheets functions and formulas for data manipulation and calculation
* Apply techniques for data cleaning, validation, and organization to ensure data accuracy
* Utilize pivot tables, slicers, and conditional formatting to extract insights and identify trends
* Create compelling charts and dashboards to effectively visualize and communicate data findings
* Understand how to structure simple data projects and build a portfolio of practical analyses using Google Sheets
The course begins with core data analysis principles and navigates through practical exercises in Google Sheets, culminating in project-based learning that reinforces your skills. This course is designed for absolute beginners with no prior experience in data analysis or Google Sheets. All you need is a willingness to learn and access to a Google account.
Start your journey into the world of data analysis today.
Course contents
What you'll get
📜Certificate of completion Add it to your LinkedIn profile
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⚡Short & focused 2h 42m of practical content
Certificate of completion
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Google Sheets for Data Analysis: A Beginner's Practical Guide