Google Sheets Tutorial For Beginners 2022 Edition
This Google Sheets Tutorial For Beginners 2022 Edition course provides an introduction to the basics of using Google Sheets. It covers topics such as creating a new spreadsheet, importing data, understanding columns and rows, freezing the header row, text wrapping, formatting values and text, sorting values, using conditional formatting, calculating new values, inserting extra columns, using functions, using filters, validating data, visualizing data, sharing and collaborating. This course is a great resource for those who are new to Google Sheets and want to learn the basics. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [April 21st, 2023]
Welcome to the Google Sheets Tutorial For Beginners 2022 Edition! This course is designed to help you learn the basics of Google Sheets and how to use it to create and manage spreadsheets. With this course, you will be able to create and edit spreadsheets, import data, format cells, sort values, use conditional formatting, calculate new values, insert extra columns, use functions, use filters, validate data, visualize data, and share and collaborate with others.
Possible Development Directions: After completing this course, you will have a solid foundation in Google Sheets and be able to create and manage spreadsheets with ease. You can then explore more advanced topics such as creating charts and graphs, using macros, and automating tasks.
Related Learning Suggestions: To further your knowledge of Google Sheets, you can explore other courses and tutorials on the web. You can also join online communities and forums to ask questions and get help from other users. Additionally, you can read books and articles on the subject to gain a deeper understanding of the software.
[Applications]
After completing this course, users can apply their knowledge of Google Sheets to create and manage spreadsheets, import data, format cells, sort values, use conditional formatting, calculate new values, insert extra columns, use functions, use filters, validate data, visualize data, share and collaborate in Google Sheets.
[Career Paths]
Career paths recommended to learners of this course include:
1. Data Analyst: Data analysts use Google Sheets to analyze data, create reports, and make decisions. They use the functions, filters, and visualizations available in Google Sheets to gain insights from data. Data analysts are in high demand as businesses increasingly rely on data-driven decisions.
2. Business Intelligence Developer: Business intelligence developers use Google Sheets to create dashboards and reports that help businesses make decisions. They use the functions, filters, and visualizations available in Google Sheets to create interactive dashboards and reports. This role is becoming increasingly important as businesses rely more and more on data-driven decisions.
3. Data Scientist: Data scientists use Google Sheets to analyze data, create models, and make predictions. They use the functions, filters, and visualizations available in Google Sheets to gain insights from data. Data scientists are in high demand as businesses increasingly rely on data-driven decisions.
4. Data Visualization Specialist: Data visualization specialists use Google Sheets to create visualizations that help businesses make decisions. They use the functions, filters, and visualizations available in Google Sheets to create interactive visualizations. This role is becoming increasingly important as businesses rely more and more on data-driven decisions.
[Education Paths]
Recommended degree paths for learners of this course include:
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming, software engineering, and data structures. It also covers topics such as artificial intelligence, machine learning, and computer networks. This degree is becoming increasingly popular as technology continues to evolve and become more integrated into our lives.
2. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. Students learn how to use data to make decisions, develop predictive models, and create visualizations. This degree is becoming increasingly popular as businesses and organizations rely more heavily on data-driven decision making.
3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and algorithms. Students learn how to design and implement algorithms that can solve complex problems and make decisions. This degree is becoming increasingly popular as artificial intelligence is being used in a variety of industries.
4. Master of Science in Cybersecurity: This degree path focuses on the protection of computer systems and networks from malicious attacks. Students learn how to identify and mitigate security threats, develop secure systems, and protect data. This degree is becoming increasingly popular as cyber threats continue to evolve and become more sophisticated.
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