Excel for Beginners: Master Essential Spreadsheet Skills
This course is part of Data Analysis Basics with Excel and R.
This foundational course teaches Microsoft Excel basics to complete beginners, covering essential spreadsheet skills needed for professional success. Students learn spreadsheet fundamentals, data entry and manipulation, visualization techniques, and powerful tools like functions, conditional formatting, and pivot tables. The course emphasizes practical application and comfort with key features, focusing on building a strong foundation for advanced learning. The curriculum is designed to help learners become proficient in basic Excel operations while preparing them for more advanced skills typically learned on the job.
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What you'll learn
Master essential Excel interface and spreadsheet terminology
Create and format various types of charts and visualizations
Use formulas and functions for data manipulation and analysis
Implement sorting filtering and conditional formatting techniques
Build and analyze pivot tables for data summary
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This comprehensive Excel course is designed for complete beginners, providing a strong foundation in spreadsheet fundamentals. The curriculum is structured across four weeks, covering essential topics from basic spreadsheet navigation to advanced features. Week 1 focuses on Excel orientation and data entry basics. Week 2 teaches various chart types and data visualization. Week 3 introduces formulas, functions, and data manipulation. Week 4 culminates with powerful tools like pivot tables and practical applications. The course emphasizes hands-on practice and real-world applications.
Getting to Know Excel & Entering Data
Module 1
Making Charts
Module 2
Manipulating & Summarizing Data Using Functions
Module 3
Bringing it All Together
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Analysis Basics with Excel and R
Instructor
1 Course
Conservation Biologist and Innovative Educator at Davidson College
Dr. Kevin Smith is the Chair and Herman Brown Professor of Biology at Davidson College, where he has been a faculty member since 2014. With a Ph.D. in Ecology and Evolutionary Biology from the University of Tennessee, Smith brings extensive expertise in conservation biology, biodiversity, and data analysis to his role. His teaching portfolio includes general biology, conservation biology, and data analysis courses, with a strong emphasis on integrating quantitative skills and data science using tools like Excel and R programming. Smith is particularly noted for his commitment to evidence-based teaching methods and inclusive pedagogy, striving to ensure success for a diverse student body. His research focuses on analyzing biodiversity loss, understanding human interactions with ecosystems, and local forest habitat conservation. Smith has developed courses such as "Excel for Beginners" and "Data Analysis Basics with Excel and R," reflecting his belief in making quantitative and data science skills accessible to all students. Beyond the classroom, he contributes to public understanding of ecological issues through media engagements and continues to bridge the gap between rigorous scientific research and practical conservation challenges.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.