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Excel Basics for Data Analysis
This course is part of multiple programs. Learn more.
Course Cost
Free course
Beginner
Skill Level
9 Hours
Self-paced Video lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full IBM Data Analyst Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.8
3,70,610 Enrolled
English
What you'll learn
Navigate and perform basic Excel operations
Clean and prepare data for analysis
Use Excel functions and formulas effectively
Create and analyze pivot tables
Develop practical data analysis skills
Skills you'll gain
This course includes:
2.73 Hours PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 5 modules in this course
This comprehensive course introduces the fundamentals of using Excel for data analysis. Students learn essential skills from basic navigation and data entry to advanced features like pivot tables and VLOOKUP functions. The curriculum emphasizes practical, hands-on learning with real-world datasets, covering data cleaning, wrangling, and analysis techniques. Special focus is given to data quality and privacy considerations, with extensive practice in formatting and organizing data for analysis.
Introduction to Data Analysis Using Spreadsheets
Module 1 · 1 Hours to complete
Getting Started with Using Excel Spreadsheets
Module 2 · 2 Hours to complete
Cleaning & Wrangling Data Using Spreadsheets
Module 3 · 2 Hours to complete
Analyzing Data Using Spreadsheets
Module 4 · 3 Hours to complete
Final Project
Module 5 · 1 Hours to complete
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: IBM Data Management Professional Certificate, IBM BI Analyst Professional Certificate, IBM Business Analyst Professional Certificate, IBM Data Analytics with Excel and R Professional Certificate
Reviews
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
4.67
147
Reviews
4,81,990
Students
3
Courses
Sandip Saha Joy is a Cognitive Data Scientist at IBM Developer Skills Network while pursuing his Bachelor of Science with Specialization in Computing Science at the University of Alberta, Canada. His professional journey includes roles as a Teaching Assistant and Undergraduate Research Assistant in the Department of Computing Science at the University of Alberta, where he honed his expertise in Machine Learning, Deep Learning, Statistical Modeling, Computer Vision, and Digital Image Processing. In his current position at IBM, he excels in developing data-driven applications, constructing data science pipelines, deploying machine learning and deep learning models, and exploring innovative frameworks. His commitment to education shines through his work as an instructor for various technical courses, focusing on data analysis, database management, and cloud computing, while maintaining a passionate drive to learn and share new technologies in the rapidly evolving field of artificial intelligence.
4.7
1,182
Reviews
4,81,110
Students
12
Courses
Steve Ryan serves as a Senior Instructional Designer and Content Developer at SkillUp Technologies, bringing over 25 years of IT expertise and educational content development experience. His credentials include being a Microsoft Certified Trainer (since 1997) and Microsoft Certified Systems Engineer (since 1998), with specialized knowledge in server and desktop operating systems, TCP/IP networks, SharePoint Server, and cloud technologies. For the past 19 years, he has focused on developing comprehensive educational content, creating both classroom and online learning materials for major organizations in the UK and USA. His expertise spans multiple areas including data visualization, office productivity software, and database management. Based in the UK, he has developed numerous courses including Excel data analysis, Microsoft Office applications, and advanced data analytics with Tableau. His teaching methodology combines technical expertise with practical application, making complex technological concepts accessible to learners of all levels.
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.